Haijun Su
Impact in
- Ecological Modeling top 10%
- Species Distribution and Climate Change
-
- Wildlife Ecology and Conservation
Papers in
- Ecology 19
- Wildlife Ecology and Conservation 9
- Avian ecology and behavior 5
-
- Species Distribution and Climate Change 14
- Co-authors
- Yupu Yang (4 shared papers)Yong Zeng (1 shared paper)Feng Qian (1 shared paper)Liang Zhao (1 shared paper)Ping Xu (2 shared papers)Chunyu Yang (2 shared papers)Cuiqing Ma (2 shared papers)Qi Zhao (1 shared paper)
- Journals
- ZooKeys (4 papers)Global Ecology and Conservation (3 papers)Animals (2 papers)Integrative Zoology (2 papers)Ecology and Evolution (2 papers)
- Partner nations
- ChinaUnited StatesThailand
In The Last Decade
Haijun Su
48 papers receiving 440 citations
Peers
Comparison fields: 5 of 103
- Ecological Modeling 44
- Ecology 95
- Artificial Intelligence 113
- Developmental Biology 7
- Global and Planetary Change 58
Countries citing papers authored by Haijun Su
This map shows the geographic impact of Haijun Su'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 Haijun Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haijun Su more than expected).
Fields of papers citing papers by Haijun Su
This network shows the impact of papers produced by Haijun Su. 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 Haijun Su. The network helps show where Haijun Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Haijun Su, 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 71 | |
| 2 | 2019 | 54 | |
| 3 | 2010 | 31 | |
| 4 | 2009 | 25 | |
| 5 | 2020 | 23 | |
| 6 | 2016 | 23 | |
| 7 | 2008 | 19 | |
| 8 | 2020 | 18 | |
| 9 | 2009 | 15 | |
| 10 | 2010 | 14 | |
| 11 | 2019 | 13 | |
| 12 | 2011 | 13 | |
| 13 | 2015 | 12 | |
| 14 | 2017 | 9 | |
| 15 | 2022 | 9 | |
| 16 | 2003 | 8 | |
| 17 | 2019 | 7 | |
| 18 | 2022 | 7 | |
| 19 | 2024 | 6 | |
| 20 | 2020 | 6 |
About Haijun Su
Haijun Su is a scholar working on Ecology, Ecological Modeling, Molecular Biology, Nature and Landscape Conservation and Genetics, having authored 55 papers that have together received 463 indexed citations. Recurring topics across this work include Species Distribution and Climate Change (14 papers), Wildlife Ecology and Conservation (9 papers), Genomics and Phylogenetic Studies (7 papers), Ecology and Vegetation Dynamics Studies (6 papers), Amphibian and Reptile Biology (6 papers), Coronary Interventions and Diagnostics (5 papers), Identification and Quantification in Food (5 papers) and Avian ecology and behavior (5 papers). The work is most often cited by research in Ecological Modeling (44 citations), Ecology (95 citations), Artificial Intelligence (113 citations), Developmental Biology (7 citations) and Global and Planetary Change (58 citations). Haijun Su has collaborated with scholars based in China, United States and Thailand. Frequent co-authors include Yupu Yang, Yong Zeng, Feng Qian, Liang Zhao, Ping Xu, Chunyu Yang, Cuiqing Ma, Qi Zhao, Mingming Zhang and Zhumei Li. Their work appears in journals such as ZooKeys, Global Ecology and Conservation, Animals, Integrative Zoology and Ecology and Evolution.
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.