Z. Shen
Impact in
-
- scientometrics and bibliometrics research
- Artificial Intelligence top 2%
- Advanced Graph Neural Networks
- Topic Modeling
- Semantic Web and Ontologies
Papers in
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- Semantic Web and Ontologies 7
- Topic Modeling 7
- Text and Document Classification Technologies 3
- Co-authors
- Kuansan Wang (9 shared papers)Hao Ma (3 shared papers)Bo-June Hsu (1 shared paper)Yang Song (1 shared paper)Arnab Sinha (1 shared paper)Yuxiao Dong (5 shared papers)Chieh‐Han Wu (5 shared papers)Anshul Kanakia (3 shared papers)
- Journals
- Nucleic Acids Research (2 papers)JAMA Network Open (1 paper)Data Science Journal (1 paper)Medicine (1 paper)Quantitative Science Studies (1 paper)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Z. Shen
34 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Statistics, Probability and Uncertainty 244
- Artificial Intelligence 625
- Statistical and Nonlinear Physics 232
- Information Systems and Management 112
- Information Systems 288
Countries citing papers authored by Z. Shen
This map shows the geographic impact of Z. Shen's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Z. Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Z. Shen more than expected).
Fields of papers citing papers by Z. Shen
This network shows the impact of papers produced by Z. Shen. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Z. Shen. The network helps show where Z. Shen may publish in the future.
Co-authors
The 25 scholars most cited alongside Z. Shen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | An Overview of Microsoft Academic Service (MAS) and Applications Hit paper breakdown → | 2015 | 529 |
| 2 | Microsoft Academic Graph: When experts are not enough Hit paper breakdown → | 2020 | 293 |
| 3 | 2019 | 90 | |
| 4 | 2018 | 62 | |
| 5 | 2009 | 62 | |
| 6 | 2017 | 52 | |
| 7 | 2010 | 32 | |
| 8 | 2016 | 29 | |
| 9 | The Stochastic Vehicle Routing Problem for Large-scale Emergencies | 2007 | 20 |
| 10 | 2021 | 20 | |
| 11 | 2020 | 19 | |
| 12 | 2022 | 17 | |
| 13 | 2023 | 16 | |
| 14 | 2014 | 11 | |
| 15 | 2021 | 9 | |
| 16 | 2017 | 6 | |
| 17 | 2022 | 5 | |
| 18 | 2018 | 5 | |
| 19 | 2020 | 4 | |
| 20 | 2023 | 4 |
About Z. Shen
Z. Shen is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Computer Networks and Communications and Information Systems and Management, having authored 36 papers that have together received 1.3k indexed citations. Recurring topics across this work include Semantic Web and Ontologies (7 papers), Topic Modeling (7 papers), Scientific Computing and Data Management (5 papers), Advanced Database Systems and Queries (4 papers), Text and Document Classification Technologies (3 papers), Graph Theory and Algorithms (3 papers), Advanced Queuing Theory Analysis (2 papers) and Facility Location and Emergency Management (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (244 citations), Artificial Intelligence (625 citations), Statistical and Nonlinear Physics (232 citations), Information Systems and Management (112 citations) and Information Systems (288 citations). Z. Shen has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Kuansan Wang, Hao Ma, Bo-June Hsu, Yang Song, Arnab Sinha, Yuxiao Dong, Chieh‐Han Wu, Anshul Kanakia, Fernando Ordóñez and Maged Dessouky. Their work appears in journals such as Nucleic Acids Research, JAMA Network Open, Data Science Journal, Medicine and Quantitative Science Studies.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.