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学者姓名：徐硕
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Abstract ：
Academic inventors bridge science and technology, and have attracted increasing attention. However, little is known about whether they have more diverse research interests than researchers with a single role, and whether their important position for science-technology interactions correlates with their diverse interests. For this purpose, we describe a rule-based approach for matching and identifying academic inventors, and an author interest discovery model with credit allocation schemes is utilized to measure the diversity of each researcher's interests. Finally, extensive empirical results on the DrugBank dataset provide several valuable insights. Contrary to our intuitive expectation, the research interests of academic inventors are the least diverse, while those of authors are the most. In addition, the important position of the researchers has a certain relation with the diversity of research interests. More specifically, the degree of centrality has a significant positive correlation with the diversity of interests, and the constraint presents a significant negative correlation. A significant weaker negative correlation can also be observed between the diversity of research interests of academic inventors and their closeness centrality. The normalized betweenness centrality seems be independent from interest diversity. These conclusions help understand the mechanisms of the important position of academic inventors for science-technology interactions, from the perspective of research interests.
Keyword ：
Science-technology linkage Science-technology linkage Author interest discovery Author interest discovery Interest diversity Interest diversity Academic inventors Academic inventors
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| GB/T 7714 | Xu, Shuo , Li, Ling , An, Xin . Do academic inventors have diverse interests? [J]. | SCIENTOMETRICS , 2023 , 128 (2) : 1023-1053 . |
| MLA | Xu, Shuo 等. "Do academic inventors have diverse interests?" . | SCIENTOMETRICS 128 . 2 (2023) : 1023-1053 . |
| APA | Xu, Shuo , Li, Ling , An, Xin . Do academic inventors have diverse interests? . | SCIENTOMETRICS , 2023 , 128 (2) , 1023-1053 . |
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Abstract ：
The deep learning has become an important technique for semantic relation classification in patent texts. Previous studies just borrowed the relevant models from generic texts to patent texts while keeping structure of the models unchanged. Due to significant distinctions between patent texts and generic ones, this enables the performance of these models in the patent texts to be reduced dramatically. To highlight these distinct characteristics in patent texts, seven anno-tated corpora from different fields are comprehensively compared in terms of several indicators for linguistic characteristics. Then, a deep learning based method is proposed to benefit from these characteristics. Our method exploits the information from other similar entity pairs as well as that from the sentences mentioning a focal entity pair. The latter stems from the conventional practices, and the former from our meaningful observation: the stronger the connection between two entity pairs is, the more likely they belong to the same relation type. To measure quantita-tively the connection between two entity pairs, a similarity indicator on the basis of association rules is raised. Extensive experiments on the corpora of TFH-2020 and ChemProt demonstrate that our method for semantic relation classification is capable of benefiting from characteristic of patent texts.
Keyword ：
Linguistic characteristics Linguistic characteristics Deep learning Deep learning Semantic relation classification Semantic relation classification Patent analysis Patent analysis Similarity measure Similarity measure
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| GB/T 7714 | Chen, Liang , Xu, Shuo , Zhu, Lijun et al. A deep learning based method benefiting from characteristics of patents for semantic relation classification [J]. | JOURNAL OF INFORMETRICS , 2022 , 16 (3) . |
| MLA | Chen, Liang et al. "A deep learning based method benefiting from characteristics of patents for semantic relation classification" . | JOURNAL OF INFORMETRICS 16 . 3 (2022) . |
| APA | Chen, Liang , Xu, Shuo , Zhu, Lijun , Zhang, Jing , Yang, Guancan , Xu, Haiyun . A deep learning based method benefiting from characteristics of patents for semantic relation classification . | JOURNAL OF INFORMETRICS , 2022 , 16 (3) . |
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Abstract ：
To build a full picture of previous studies on the origins of SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2), this paper exploits an active learning-based approach to screen scholarly articles about the origins of SARS-CoV-2 from many scientific publications. In more detail, six seed articles were utilized to manually curate 170 relevant articles and 300 nonrelevant articles. Then, an active learning-based approach with three query strategies and three base classifiers is trained to screen the articles about the origins of SARSCoV- 2. Extensive experimental results show that our active learning-based approach outperforms traditional counterparts, and the uncertain sampling query strategy performs best among the three strategies. By manually checking the top 1,000 articles of each base classifier, we ultimately screened 715 unique scholarly articles to create a publicly available peerreviewed literature corpus, COVID-Origin. This indicates that our approach for screening articles about the origins of SARS-CoV-2 is feasible. © 2022 An et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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| GB/T 7714 | An, X. , Zhang, M. , Xu, S. . An active learning-based approach for screening scholarly articles about the origins of SARS-CoV-2 [J]. | PLoS ONE , 2022 , 17 (9 September) . |
| MLA | An, X. et al. "An active learning-based approach for screening scholarly articles about the origins of SARS-CoV-2" . | PLoS ONE 17 . 9 September (2022) . |
| APA | An, X. , Zhang, M. , Xu, S. . An active learning-based approach for screening scholarly articles about the origins of SARS-CoV-2 . | PLoS ONE , 2022 , 17 (9 September) . |
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Abstract ：
Main Path Analysis (MPA) is widely used to trace the developmental trajectory of a technological field through a citation network. The citation-based traversal weight is usually utilized to cherrypick the most significant path. However, the theme of documents along a main path may not be so coherent, and it is very possible to miss the main paths of significant sub-fields overall in a domain. Furthermore, the global path search algorithm in conventional MPA also suffers from high space complexity due to the exhaustive strategy. To address these limitations, a new method, named as semantic MPA (sMPA), is proposed by leveraging semantic information in two steps of candidate path generation and main path selection. In the meanwhile, the resulting source code can be freely accessed. To demonstrate the advantages of our method, extensive experiments are conducted on a patent dataset pertaining to lithium-ion battery in electric vehicle. Experimental results show that our sMPA is capable of discovering more knowledge flows from important subfields, and improving the topical coherence of candidate paths as well.
Keyword ：
Topic coherence Topic coherence Patent mining Patent mining Lithium-ion battery Lithium-ion battery Developmental trajectory Developmental trajectory Main path analysis Main path analysis
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| GB/T 7714 | Chen, Liang , Xu, Shuo , Zhu, Lijun et al. A semantic main path analysis method to identify multiple developmental trajectories [J]. | JOURNAL OF INFORMETRICS , 2022 , 16 (2) . |
| MLA | Chen, Liang et al. "A semantic main path analysis method to identify multiple developmental trajectories" . | JOURNAL OF INFORMETRICS 16 . 2 (2022) . |
| APA | Chen, Liang , Xu, Shuo , Zhu, Lijun , Zhang, Jing , Xu, Haiyun , Yang, Guancan . A semantic main path analysis method to identify multiple developmental trajectories . | JOURNAL OF INFORMETRICS , 2022 , 16 (2) . |
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Abstract ：
Given that citations are not equally important, various techniques have been presented to identify important citations on the basis of supervised machine learning models. However, only a small volume of instances have been annotated manually with the labels. To make full use of unlabeled instances and promote the identification performance, the semi-supervised self-training technique is utilized here to identify important citations in this work. After six groups of features are engineered, the SVM and RF models are chosen as the base classifiers for self-training strategy. Then two experiments based on two different types of datasets are conducted. The experiment on the expert-labeled dataset from one single discipline shows that the semi-supervised versions of SVM and RF models significantly improve the performance of the conventional supervised versions when unannotated samples under 75% and 95% confidence level are rejoined to the training set, respectively. The AUC-PR and AUC-ROC of SVM model are 0.8102 and 0.9622, and those of RF model reach 0.9248 and 0.9841, which outperform their counterparts and the benchmark methods in the literature. This demonstrates the effectiveness of our semi-supervised self-training strategy for important citation identification. Another experiment on the author-labeled dataset from multiple disciplines, semi-supervised learning models can perform better than their supervised learning counterparts in term of AUC-PR when the ratio of labeled instances is less than 20%. Compared to our first experiment, insufficient amount of instances from each discipline in our second experiment enables the performance of the models to be unsatisfactory.
Keyword ：
Semi-supervised learning Semi-supervised learning Self-training Self-training Important citation Important citation Author-labeled dataset Author-labeled dataset Expert-labeled dataset Expert-labeled dataset
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| GB/T 7714 | An, Xin , Sun, Xin , Xu, Shuo . Important citations identification with semi-supervised classification model [J]. | SCIENTOMETRICS , 2022 , 127 (11) : 6533-6555 . |
| MLA | An, Xin et al. "Important citations identification with semi-supervised classification model" . | SCIENTOMETRICS 127 . 11 (2022) : 6533-6555 . |
| APA | An, Xin , Sun, Xin , Xu, Shuo . Important citations identification with semi-supervised classification model . | SCIENTOMETRICS , 2022 , 127 (11) , 6533-6555 . |
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Abstract ：
Purpose The purpose of this study is to solve the problems caused by the growing volumes of pre-annotated literature and variety-oriented annotations, including teamwork, quality control and time effort. Design/methodology/approach An annotation collaboration workbench is developed, which is named as Bureau for Rapid Annotation Tool (Brat). Main functionalities include an enhanced semantic constraint system, Vim-like shortcut keys, an annotation filter and a graph-visualizing annotation browser. With these functionalities, the annotators are encouraged to question their initial mindset, inspect conflicts and gain agreement from their peers. Findings The collaborative patterns can indeed be leveraged to structure properly every annotator's behaviors. The Brat workbench can actually be seen as an experienced-based annotation tool by harnessing collective intelligence. Compared to previous counterparts, about one-third of time can be saved on Xinhuanet military news and patent corpora with the workbench. Originality/value The various annotations are very popular in real-world annotation tasks with multiple annotators. Though, it is still under-discussed on variety-oriented annotations. The findings of this study provide the practitioners valuable insight into how to govern annotation projects. In addition, the Brat workbench takes the first step for future research on annotating large-scale text resources.
Keyword ：
Annotation teamwork Annotation teamwork Knowledge engineering Knowledge engineering Variety-oriented annotation Variety-oriented annotation Annotation workbench Annotation workbench Quality control Quality control
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| GB/T 7714 | Wang, Zheng , Xu, Shuo , Wang, Yibo et al. Bureau for Rapid Annotation Tool: collaboration can do more among variance annotations [J]. | ASLIB JOURNAL OF INFORMATION MANAGEMENT , 2022 , 75 (3) : 523-534 . |
| MLA | Wang, Zheng et al. "Bureau for Rapid Annotation Tool: collaboration can do more among variance annotations" . | ASLIB JOURNAL OF INFORMATION MANAGEMENT 75 . 3 (2022) : 523-534 . |
| APA | Wang, Zheng , Xu, Shuo , Wang, Yibo , Chai, Xiaojiao , Chen, Liang . Bureau for Rapid Annotation Tool: collaboration can do more among variance annotations . | ASLIB JOURNAL OF INFORMATION MANAGEMENT , 2022 , 75 (3) , 523-534 . |
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Abstract ：
Against the backdrop of globalization, the world is witnessing increasingly frequent transnational mobility, placing scientific mobility in the spotlight. Highly competitive researchers with an international vision are regarded as engines that, for any nation, drive scientific and technological progress and social development. Over the past two decades, the China Scholarship Council (CSC) has provided sustainable financial and policy support to promote academic mobility. This study aims to identify complex antecedent configurations contributing to the high research performance of scholars after their research visits funded by the CSC. Fuzzy set Qualitative Comparative Analysis (fsQCA) is employed to conduct a causal analysis on 630 researchers who received CSC academic mobility funding in 2012. Then, bibliometric indexes and fsQCA are combined to identify the antecedent configurations (combinations) that lead to the high research performance of these researchers. From experimental results, we identify six combinations (configurations) of visiting scholars and four combinations of postdoctoral researchers that lead to high research performance after their research visits. In more details, active international collaboration before their visits plays a core role in the high research performance of scholars after mobility. Meanwhile, the reputation of institutions and the academic position constitute an important part of the combinations that lead to high research performance. Additionally, the role of the duration of the research visit in the high performance of researchers cannot be ignored. Gender is not a crucial part of the causal combinations that explain high performance. This study provides insights to design and improve similar academic mobility programmes worldwide.
Keyword ：
fsQCA fsQCA Academic mobility Academic mobility Research performance Research performance Antecedent configuration Antecedent configuration CSC CSC
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| GB/T 7714 | Liu, Junwan , Wang, Rui , Xu, Shuo . What academic mobility configurations contribute to high performance: an fsQCA analysis of CSC-funded visiting scholars [J]. | SCIENTOMETRICS , 2021 , 126 (2) : 1079-1100 . |
| MLA | Liu, Junwan et al. "What academic mobility configurations contribute to high performance: an fsQCA analysis of CSC-funded visiting scholars" . | SCIENTOMETRICS 126 . 2 (2021) : 1079-1100 . |
| APA | Liu, Junwan , Wang, Rui , Xu, Shuo . What academic mobility configurations contribute to high performance: an fsQCA analysis of CSC-funded visiting scholars . | SCIENTOMETRICS , 2021 , 126 (2) , 1079-1100 . |
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Abstract ：
基于三维引文关联网络的潜在知识流动探测--以基因编辑领域为例
Keyword ：
知识流动 知识流动 三维引文关联融合 三维引文关联融合 基因编辑 基因编辑 链路预测 链路预测
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| GB/T 7714 | 王菲菲 , 王筱涵 , 徐硕 et al. 基于三维引文关联网络的潜在知识流动探测--以基因编辑领域为例 [J]. | 王菲菲 , 2021 , 40 (2) : 184-193 . |
| MLA | 王菲菲 et al. "基于三维引文关联网络的潜在知识流动探测--以基因编辑领域为例" . | 王菲菲 40 . 2 (2021) : 184-193 . |
| APA | 王菲菲 , 王筱涵 , 徐硕 , 芦婉昭 , 宋艳辉 , 情报学报 . 基于三维引文关联网络的潜在知识流动探测--以基因编辑领域为例 . | 王菲菲 , 2021 , 40 (2) , 184-193 . |
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Abstract ：
在知识经济时代,知识流动在激发知识创新和促进科技发展等方面的价值逐步凸显出来。本文在直引-共被引-耦合三维引文关联网络融合的基础上,对主题关联层面进行映射,对领域内潜在的知识流动进行挖掘。链路预测指标作为特征值,分别应用于构建分类器和回归器。其中,分类器用于预测目前尚未存在、在未来极有可能发生的知识流动;回归器主要用于预测目前链接权重较低的,尚未引起广泛关注、但在未来具有较高链接权重的知识流动。两种预测层面综合互补,可更全面地探测领域内的研究前沿或新兴趋势。利用该思路对当前热门的基因编辑技术领域进行探索研究,得到了该领域中的潜在知识流动和潜在研究的热点,为科研人员选择研究方向提供参考。
Keyword ：
基因编辑 基因编辑 三维引文关联融合 三维引文关联融合 链路预测 链路预测 知识流动 知识流动
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| GB/T 7714 | 王菲菲 , 王筱涵 , 徐硕 et al. 基于三维引文关联网络的潜在知识流动探测——以基因编辑领域为例 [J]. | 情报学报 , 2021 , 40 (02) : 184-193 . |
| MLA | 王菲菲 et al. "基于三维引文关联网络的潜在知识流动探测——以基因编辑领域为例" . | 情报学报 40 . 02 (2021) : 184-193 . |
| APA | 王菲菲 , 王筱涵 , 徐硕 , 芦婉昭 , 宋艳辉 . 基于三维引文关联网络的潜在知识流动探测——以基因编辑领域为例 . | 情报学报 , 2021 , 40 (02) , 184-193 . |
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Abstract ：
林业生态安全是国家生态安全的重要组成部分，对区域可持续发展及生态文明建设发挥着重要作用。为克服现有林业生态安全评价中系统复杂性不足和指标体系缺乏验证的局限，文章基于对广义林业生态安全（FES）内涵、构成及作用机理的分析，考虑了现有研究尚未纳入的潜在因素，选择DPSIR理论构建FES指标框架，并结合结构方程模型（SEM），利用中国30个省份的面板数据，对FES指标框架进行统计检验和指标优化，最终得到了基于DPSIR-SEM的FES评价指标体系及权重。为进一步验证指标体系的合理性和实用性，对黑龙江省的生态安全做了实证分析，评判结果与已有研究及实际情况整体相符。
Keyword ：
结构方程模型 结构方程模型 指标体系 指标体系 DPSIR DPSIR 林业生态安全 林业生态安全 综合评价 综合评价
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| GB/T 7714 | 陈奕丹 , 徐硕 , 安欣 . 林业生态安全评价指标体系构建与实证 [J]. | 统计与决策 , 2021 , (18) : 36-40 . |
| MLA | 陈奕丹 et al. "林业生态安全评价指标体系构建与实证" . | 统计与决策 18 (2021) : 36-40 . |
| APA | 陈奕丹 , 徐硕 , 安欣 . 林业生态安全评价指标体系构建与实证 . | 统计与决策 , 2021 , (18) , 36-40 . |
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