Wanjun Zhang
- Nature and Landscape Conservation
- Ecological Modeling top 10%
- Ecology, Evolution, Behavior and Systematics
- Molecular Biology
- Computer Vision and Pattern Recognition
- Co-authors
- Yunpeng LiuXiaoting XuQinggang WangZhiheng WangXiangyan SuZehao ShenNawal ShresthaShaozhen Zhao
- Topics
- Human Pose and Action Recognition (3 papers)Anomaly Detection Techniques and Applications (3 papers)Data Mining Algorithms and Applications (2 papers)
- Cited by
- Ecological ModelingNature and Landscape ConservationEcology, Evolution, Behavior and Systematics
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Wanjun Zhang
19 papers receiving 139 citations
Peers
Comparison fields: 5 of 72
- Nature and Landscape Conservation 42
- Ecological Modeling 40
- Ecology, Evolution, Behavior and Systematics 37
- Molecular Biology 25
- Computer Vision and Pattern Recognition 16
Countries citing papers authored by Wanjun Zhang
This map shows the geographic impact of Wanjun 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 Wanjun Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wanjun Zhang more than expected).
Fields of papers citing papers by Wanjun Zhang
This network shows the impact of papers produced by Wanjun 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 Wanjun Zhang. The network helps show where Wanjun Zhang may publish in the future.
Co-authorship network of co-authors of Wanjun Zhang
This figure shows the co-authorship network connecting the top 25 collaborators of Wanjun Zhang. A scholar is included among the top collaborators of Wanjun Zhang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Wanjun Zhang. Wanjun Zhang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 3 | |
| 10 | 16 | |
| 11 | 1 | |
| 12 | 10 | |
| 13 | 3 | |
| 14 | 1 | |
| 15 | 56 | |
| 16 | 7 | |
| 17 | 0 | |
| 18 | 3 | |
| 19 | Survey of Association Rules Mining | 2 |
| 20 | Determinants of the Variability of Corporate Effective Tax Rates——Evidence of Listed Companies in China | 2 |
About Wanjun Zhang
Wanjun Zhang is a scholar working on Ecological Modeling, Computer Vision and Pattern Recognition and Media Technology, having authored 23 papers that have together received 145 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (3 papers), Anomaly Detection Techniques and Applications (3 papers) and Data Mining Algorithms and Applications (2 papers). The work is most often cited by research in Ecological Modeling (40 citations), Nature and Landscape Conservation (42 citations) and Ecology, Evolution, Behavior and Systematics (37 citations). Wanjun Zhang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yunpeng Liu, Xiaoting Xu, Qinggang Wang, Zhiheng Wang, Xiangyan Su, Zehao Shen, Nawal Shrestha, Shaozhen Zhao, Xiaoxiao Lu and Ying Lv. Their work appears in journals such as Nano Letters, Journal of Hazardous Materials and Sensors.
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.