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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- Protein Structure and Dynamics 10
- Machine Learning in Bioinformatics 7
- Bioinformatics and Genomic Networks 6
- Biomedical Text Mining and Ontologies 5
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- Computational Drug Discovery Methods 21
- 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)Knowledge-Based Systems (2 papers)Briefings in Bioinformatics (2 papers)BMC Public Health (2 papers)
- Partner nations
- ChinaHong KongNew Zealand
In The Last Decade
Junjie Wang
58 papers receiving 646 citations
Peers
Comparison fields: 5 of 113
- Computational Theory and Mathematics 234
- Computer Vision and Pattern Recognition 129
- Molecular Biology 286
- Biophysics 19
- Artificial Intelligence 73
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 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 85 | |
| 2 | 2017 | 73 | |
| 3 | 2022 | 37 | |
| 4 | 2019 | 34 | |
| 5 | 2022 | 31 | |
| 6 | 2023 | 27 | |
| 7 | 2023 | 25 | |
| 8 | 2022 | 23 | |
| 9 | 2023 | 23 | |
| 10 | 2020 | 23 | |
| 11 | 2020 | 21 | |
| 12 | 2022 | 19 | |
| 13 | 2023 | 18 | |
| 14 | 2023 | 15 | |
| 15 | 2018 | 15 | |
| 16 | 2023 | 13 | |
| 17 | 2018 | 12 | |
| 18 | 2023 | 11 | |
| 19 | 2023 | 10 | |
| 20 | 2022 | 10 |
About Junjie Wang
Junjie Wang is a scholar working on Molecular Biology, Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications, having authored 70 papers that have together received 659 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (21 papers), Protein Structure and Dynamics (10 papers), Machine Learning in Bioinformatics (7 papers), Bioinformatics and Genomic Networks (6 papers), Biomedical Text Mining and Ontologies (5 papers), Distributed Control Multi-Agent Systems (4 papers), Video Surveillance and Tracking Methods (4 papers) and Target Tracking and Data Fusion in Sensor Networks (4 papers). The work is most often cited by research in Computational Theory and Mathematics (234 citations), Computer Vision and Pattern Recognition (129 citations), Molecular Biology (286 citations), Biophysics (19 citations) and Artificial Intelligence (73 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, Knowledge-Based Systems, Briefings in Bioinformatics and BMC Public Health.
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.