Junjie Wang
Impact in
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- Computational Drug Discovery Methods
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- Robotic Path Planning Algorithms
- Video Surveillance and Tracking Methods
Papers in
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- Computational Drug Discovery Methods 21
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- Machine Learning in Bioinformatics 7
- Protein Structure and Dynamics 6
- Bioinformatics and Genomic Networks 5
- Biomedical Text Mining and Ontologies 4
- Co-authors
- Lingling Zhao (18 shared papers)Chunyu Wang (19 shared papers)Long Pang (2 shared papers)Liang Cheng (5 shared papers)Jun Zhang (2 shared papers)Yang Liu (1 shared paper)Zhiyu Zhou (1 shared paper)Zefei Zhu (1 shared paper)
- Journals
- Journal of Cheminformatics (3 papers)Bioinformatics (2 papers)Computers in Biology and Medicine (2 papers)Frontiers in Genetics (2 papers)Knowledge-Based Systems (2 papers)
- Partner nations
- ChinaHong KongNew Zealand
In The Last Decade
Junjie Wang
67 papers receiving 707 citations
Peers
Comparison fields: 5 of 108
- Computational Theory and Mathematics 244
- Computer Vision and Pattern Recognition 142
- Molecular Biology 270
- Biophysics 23
- Control and Systems Engineering 55
Countries citing papers authored by Junjie Wang
This map shows the geographic impact of Junjie 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 Junjie Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junjie Wang more than expected).
Fields of papers citing papers by Junjie Wang
This network shows the impact of papers produced by Junjie 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 Junjie Wang. The network helps show where Junjie Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Junjie 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 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 96 | |
| 2 | 2017 | 79 | |
| 3 | 2022 | 41 | |
| 4 | 2019 | 35 | |
| 5 | 2022 | 34 | |
| 6 | 2023 | 30 | |
| 7 | 2023 | 29 | |
| 8 | 2022 | 24 | |
| 9 | 2023 | 24 | |
| 10 | 2020 | 23 | |
| 11 | 2020 | 23 | |
| 12 | 2023 | 21 | |
| 13 | 2022 | 20 | |
| 14 | 2023 | 17 | |
| 15 | 2023 | 15 | |
| 16 | 2018 | 15 | |
| 17 | 2023 | 12 | |
| 18 | 2024 | 11 | |
| 19 | 2023 | 11 | |
| 20 | 2024 | 10 |
About Junjie Wang
Junjie Wang is a scholar working on Computational Theory and Mathematics, Molecular Biology, Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications, having authored 72 papers that have together received 720 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (21 papers), Machine Learning in Bioinformatics (7 papers), Protein Structure and Dynamics (6 papers), Bioinformatics and Genomic Networks (5 papers), Distributed Control Multi-Agent Systems (4 papers), Target Tracking and Data Fusion in Sensor Networks (4 papers), Biomedical Text Mining and Ontologies (4 papers) and Video Surveillance and Tracking Methods (4 papers). The work is most often cited by research in Computational Theory and Mathematics (244 citations), Computer Vision and Pattern Recognition (142 citations), Molecular Biology (270 citations), Biophysics (23 citations) and Control and Systems Engineering (55 citations). Junjie Wang has collaborated with scholars based in China, Hong Kong and New Zealand. Frequent co-authors include Lingling Zhao, Chunyu Wang, Long Pang, Liang Cheng, Jun Zhang, Yang Liu, Zhiyu Zhou, Zefei Zhu, Jiang Wu and Yan Zhu. Their work appears in journals such as Journal of Cheminformatics, Bioinformatics, Computers in Biology and Medicine, Frontiers in Genetics 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.