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
- Advanced Text Analysis Techniques 1
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- Advanced biosensing and bioanalysis techniques 1
- Bioactive natural compounds 1
- Co-authors
- Tao Gui (6 shared papers)Qiang Zeng (1 shared paper)Lannan Luo (2 shared papers)Fei Zuo (1 shared paper)Yicheng Zou (2 shared papers)Qi Zhang (1 shared paper)Hongwei Liu (1 shared paper)Yong‐Qiang Deng (2 shared papers)
- Journals
- Frontiers in Cellular and Infection Microbiology (1 paper)Clinical Oral Investigations (1 paper)Organic & Biomolecular Chemistry (1 paper)IET Control Theory and Applications (1 paper)Findings of the Association for Computational Linguistics: ACL 2022 (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Junzhe Wang
11 papers receiving 56 citations
Peers
Comparison fields: 5 of 30
- Software 8
- Periodontics 5
- Artificial Intelligence 33
- Signal Processing 11
- Information Systems 19
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 | 13 | |
| 2 | 2021 | 13 | |
| 3 | 2024 | 6 | |
| 4 | 2023 | 6 | |
| 5 | 2023 | 5 | |
| 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, Periodontics and Organic Chemistry, having authored 12 papers that have together received 56 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (5 papers), Topic Modeling (4 papers), Advanced Malware Detection Techniques (2 papers), Text and Document Classification Technologies (2 papers), Oral microbiology and periodontitis research (2 papers), Advanced Text Analysis Techniques (1 paper), Advanced biosensing and bioanalysis techniques (1 paper) and Bioactive natural compounds (1 paper). The work is most often cited by research in Software (8 citations), Periodontics (5 citations), Artificial Intelligence (33 citations), Signal Processing (11 citations) and Information Systems (19 citations). Junzhe Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Tao Gui, Qiang Zeng, Lannan Luo, Fei Zuo, Yicheng Zou, Qi Zhang, Hongwei Liu, Yong‐Qiang Deng, Ruotian Ma and Qianqian Zhang. Their work appears in journals such as Frontiers in Cellular and Infection Microbiology, Clinical Oral Investigations, Organic & Biomolecular Chemistry, IET Control Theory and Applications 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.