Chenwei Zhang
- Signal Processing top 2%
- Artificial Intelligence top 2%
- Topic Modeling 16
- Natural Language Processing Techniques 8
- Text and Document Classification Technologies 8
- Advanced Graph Neural Networks 6
- Advanced Text Analysis Techniques 5
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- scientometrics and bibliometrics research 10
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- Complex Network Analysis Techniques 9
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- Biomedical Text Mining and Ontologies 4
Chenwei Zhang
67 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 159
- Signal Processing 337
- Artificial Intelligence 611
- Statistics, Probability and Uncertainty 128
- Statistical and Nonlinear Physics 131
- Catalysis 62
Countries citing papers authored by Chenwei Zhang
This map shows the geographic impact of Chenwei Zhang'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 Chenwei Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chenwei Zhang more than expected).
Fields of papers citing papers by Chenwei Zhang
This network shows the impact of papers produced by Chenwei Zhang. 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 Chenwei Zhang. The network helps show where Chenwei Zhang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chenwei Zhang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 8 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 7 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 12 | |
| 10 | 2023 | 16 | |
| 11 | 2023 | 1 | |
| 12 | 2023 | 9 | |
| 13 | 2022 | 5 | |
| 14 | 2020 | 48 | |
| 15 | 2020 | 0 | |
| 16 | Investigating scientific collaboration through the sequence of authors in the publication bylines and the diversity of collaborators | 2019 | 4 |
| 17 | 2018 | 39 | |
| 18 | Direction-of-Arrival Estimation Based on Deep Neural Networks With Robustness to Array Imperfectionsbreakdown → | 2018 | 377 |
| 19 | 2018 | 129 | |
| 20 | 2016 | 2 |
About Chenwei Zhang
Chenwei Zhang is a scholar working on Statistics, Probability and Uncertainty, Artificial Intelligence, Statistical and Nonlinear Physics, Information Systems and Management and Computer Science Applications, having authored 76 papers that have together received 1.5k indexed citations. Recurring topics across this work include Topic Modeling (16 papers), scientometrics and bibliometrics research (10 papers), Complex Network Analysis Techniques (9 papers), Natural Language Processing Techniques (8 papers), Text and Document Classification Technologies (8 papers), Advanced Graph Neural Networks (6 papers), Advanced Text Analysis Techniques (5 papers) and Biomedical Text Mining and Ontologies (4 papers). The work is most often cited by research in Signal Processing (337 citations), Artificial Intelligence (611 citations), Statistics, Probability and Uncertainty (128 citations), Statistical and Nonlinear Physics (131 citations) and Catalysis (62 citations). Chenwei Zhang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Philip S. Yu, Zhangmeng Liu, Ying Ding, Jian Xu, Xiangjie Kong, Congying Xia, Yi Bu, Linan Zhu, Yifei Xu and Dawei Zhang. Their work appears in journals such as Information Processing & Management, Journal of Informetrics, Journal of the Association for Information Science and Technology, Knowledge-Based Systems and Information Fusion.
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.