Junzhe Wang
Impact in
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- Software Testing and Debugging Techniques
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- Oral microbiology and periodontitis research
Papers in
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- Natural Language Processing Techniques 5
- Topic Modeling 4
- Text and Document Classification Technologies 2
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- Bioactive natural compounds 1
- Co-authors
- Tao Gui (6 shared papers)Qiang Zeng (1 shared paper)Fei Zuo (1 shared paper)Lannan Luo (2 shared papers)Haixiang Li (1 shared paper)Qi Zhang (1 shared paper)Yicheng Zou (2 shared papers)Hongwei Liu (1 shared paper)
- Journals
- IET Control Theory and Applications (1 paper)Clinical Oral Investigations (1 paper)Organic & Biomolecular Chemistry (1 paper)Frontiers in Cellular and Infection Microbiology (1 paper)Findings of the Association for Computational Linguistics: ACL 2022 (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Junzhe Wang
11 papers receiving 58 citations
Peers
Comparison fields: 5 of 27
- Software 8
- Periodontics 5
- Artificial Intelligence 35
- Signal Processing 11
- Information Systems 20
Countries citing papers authored by Junzhe Wang
This map shows the geographic impact of Junzhe 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 Junzhe Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junzhe Wang more than expected).
Fields of papers citing papers by Junzhe Wang
This network shows the impact of papers produced by Junzhe 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 Junzhe Wang. The network helps show where Junzhe Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Junzhe 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
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 14 | |
| 2 | 2021 | 13 | |
| 3 | 2023 | 6 | |
| 4 | 2023 | 6 | |
| 5 | 2024 | 6 | |
| 6 | 2023 | 5 | |
| 7 | 2023 | 4 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 1 | |
| 10 | 2022 | 1 | |
| 11 | 2025 | 1 | |
| 12 | 2025 | 0 |
About Junzhe Wang
Junzhe Wang is a scholar working on Artificial Intelligence, Molecular Biology, Signal Processing, Organic Chemistry and Computer Networks and Communications, having authored 12 papers that have together received 58 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (5 papers), Topic Modeling (4 papers), Text and Document Classification Technologies (2 papers), Advanced Malware Detection Techniques (2 papers), Software System Performance and Reliability (1 paper), Salivary Gland Disorders and Functions (1 paper), Bioactive natural compounds (1 paper) and Advanced Nanomaterials in Catalysis (1 paper). The work is most often cited by research in Software (8 citations), Periodontics (5 citations), Artificial Intelligence (35 citations), Signal Processing (11 citations) and Information Systems (20 citations). Junzhe Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Tao Gui, Qiang Zeng, Fei Zuo, Lannan Luo, Haixiang Li, Qi Zhang, Yicheng Zou, Hongwei Liu, Xiang Gao and Qianqian Zhang. Their work appears in journals such as IET Control Theory and Applications, Clinical Oral Investigations, Organic & Biomolecular Chemistry, Frontiers in Cellular and Infection Microbiology and Findings of the Association for Computational Linguistics: ACL 2022.
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.