Wanru Wang
Impact in
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- scientometrics and bibliometrics research
- Management Information Systems top 10%
- Big Data and Business Intelligence
Papers in
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- Complex Network Analysis Techniques 6
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- Bioinformatics and Genomic Networks 2
- Co-authors
- Dejian Yu (7 shared papers)Zeshui Xu (3 shared papers)Witold Pedrycz (1 shared paper)Shuai Zhang (4 shared papers)Wenyu Zhang (2 shared papers)Song Xu (1 shared paper)Rong‐Yu Liu (2 shared papers)Wenting Yang (1 shared paper)
- Journals
- Journal of Informetrics (4 papers)Current Science (2 papers)Scientific Reports (1 paper)Information Sciences (1 paper)Knowledge-Based Systems (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Wanru Wang
22 papers receiving 693 citations
Peers
Comparison fields: 5 of 144
- Statistics, Probability and Uncertainty 62
- Management Information Systems 63
- Management Science and Operations Research 83
- Strategy and Management 89
- Health Informatics 8
Countries citing papers authored by Wanru Wang
This map shows the geographic impact of Wanru Wang'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 Wanru Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wanru Wang more than expected).
Fields of papers citing papers by Wanru Wang
This network shows the impact of papers produced by Wanru Wang. 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 Wanru Wang. The network helps show where Wanru Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Wanru Wang, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 200 | |
| 2 | 2017 | 109 | |
| 3 | 2018 | 70 | |
| 4 | 2018 | 63 | |
| 5 | 2024 | 44 | |
| 6 | 2017 | 39 | |
| 7 | 2022 | 39 | |
| 8 | 2018 | 38 | |
| 9 | 2023 | 28 | |
| 10 | 2017 | 18 | |
| 11 | 2020 | 14 | |
| 12 | 2023 | 9 | |
| 13 | 2021 | 7 | |
| 14 | 2022 | 5 | |
| 15 | 2019 | 5 | |
| 16 | 2017 | 5 | |
| 17 | 2023 | 5 | |
| 18 | 2023 | 5 | |
| 19 | 2019 | 3 | |
| 20 | 2024 | 1 |
About Wanru Wang
Wanru Wang is a scholar working on Statistical and Nonlinear Physics, Molecular Biology, Artificial Intelligence, Strategy and Management and Information Systems, having authored 27 papers that have together received 709 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (6 papers), Multi-Criteria Decision Making (3 papers), Cognitive Science and Mapping (2 papers), Video Surveillance and Tracking Methods (2 papers), Pharmacological Effects of Natural Compounds (2 papers), Transportation Planning and Optimization (2 papers), Bioinformatics and Genomic Networks (2 papers) and Interdisciplinary Research and Collaboration (1 paper). The work is most often cited by research in Statistics, Probability and Uncertainty (62 citations), Management Information Systems (63 citations), Management Science and Operations Research (83 citations), Strategy and Management (89 citations) and Health Informatics (8 citations). Wanru Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Dejian Yu, Zeshui Xu, Witold Pedrycz, Shuai Zhang, Wenyu Zhang, Song Xu, Rong‐Yu Liu, Wenting Yang, Kannan Govindan and Siliang Liu. Their work appears in journals such as Journal of Informetrics, Current Science, Scientific Reports, Information Sciences and Knowledge-Based Systems.
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.