Dejun Zhang
Impact in
-
- Human Pose and Action Recognition
- Video Surveillance and Tracking Methods
- Advanced Vision and Imaging
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
Papers in
-
- Genomics and Phylogenetic Studies 9
-
- Human Pose and Action Recognition 10
- Advanced Vision and Imaging 7
- Video Surveillance and Tracking Methods 7
- Co-authors
- Yiqi Wu (21 shared papers)Fazhi He (10 shared papers)Xiaoxia Li (5 shared papers)Junsong Yuan (4 shared papers)Yilin Chen (7 shared papers)Zhigang Tu (6 shared papers)Yating Yu (4 shared papers)Fazhi He (8 shared papers)
- Journals
- Molecules (5 papers)Journal of Ethnopharmacology (5 papers)BMC Cancer (4 papers)Acta Oto-Laryngologica (4 papers)Remote Sensing (4 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Dejun Zhang
191 papers receiving 3.5k citations
Dejun Zhang's Hit Papers
Peers
Comparison fields: 5 of 186
- Computer Vision and Pattern Recognition 736
- Cancer Research 292
- Human-Computer Interaction 126
- Artificial Intelligence 494
- Media Technology 121
Countries citing papers authored by Dejun Zhang
This map shows the geographic impact of Dejun 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 Dejun Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dejun Zhang more than expected).
Fields of papers citing papers by Dejun Zhang
This network shows the impact of papers produced by Dejun 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 Dejun Zhang. The network helps show where Dejun Zhang may publish in the future.
Co-authors
The 25 scholars most cited alongside Dejun 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
Showing the 20 most-cited of 202 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 177 | |
| 2 | 2019 | 143 | |
| 3 | 2020 | 129 | |
| 4 | 2018 | 123 | |
| 5 | 2018 | 102 | |
| 6 | 2017 | 92 | |
| 7 | 2008 | 87 | |
| 8 | 2019 | 84 | |
| 9 | 2017 | 80 | |
| 10 | 2019 | 79 | |
| 11 | 2014 | 79 | |
| 12 | 2021 | 63 | |
| 13 | 2017 | 63 | |
| 14 | 2022 | 60 | |
| 15 | 2016 | 60 | |
| 16 | 2011 | 58 | |
| 17 | 2017 | 55 | |
| 18 | 2018 | 53 | |
| 19 | 2015 | 53 | |
| 20 | 2020 | 52 |
About Dejun Zhang
Dejun Zhang is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition, Artificial Intelligence, Plant Science and Oncology, having authored 202 papers that have together received 3.6k indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (11 papers), Human Pose and Action Recognition (10 papers), Genomics and Phylogenetic Studies (9 papers), Phytochemistry and Biological Activities (8 papers), Manufacturing Process and Optimization (7 papers), Advanced Vision and Imaging (7 papers), Video Surveillance and Tracking Methods (7 papers) and Robotics and Sensor-Based Localization (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (736 citations), Cancer Research (292 citations), Human-Computer Interaction (126 citations), Artificial Intelligence (494 citations) and Media Technology (121 citations). Dejun Zhang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Yiqi Wu, Fazhi He, Xiaoxia Li, Junsong Yuan, Yilin Chen, Zhigang Tu, Yating Yu, Fazhi He, Lu Zou and Gui Yun Tian. Their work appears in journals such as Molecules, Journal of Ethnopharmacology, BMC Cancer, Acta Oto-Laryngologica and Remote Sensing.
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.