Haijun Su

684 citations
57 papers · 530 · h-index 13

Impact in

Papers in

    • Species Distribution and Climate Change 14
    • Wildlife Ecology and Conservation 9
    • Avian ecology and behavior 5

Haijun Su

51 papers receiving 511 citations

Peers

Haijun Su
Comparison fields: 5 of 106
  • Ecological Modeling 45
  • Ecology 104
  • Developmental Biology 8
  • Artificial Intelligence 119
  • Global and Planetary Change 67
Replace Vikram Aditya with:
Vikram Aditya India
Jehyeok Rew South Korea
Matthew Piekenbrock United States
Jean-Pierre Vila France
Juan Yan China
Kai Cui China
Tony Fountain United States
Qing Song Zhou China
Haifeng Xu China
Eduard Puig Australia
Haijun Su relative to Vikram Aditya India Vikram Aditya's profile →
Citations per field
00.5×5×11.5×
Vikram Aditya · 1×
Citations per year

Countries citing papers authored by Haijun Su

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Haijun Su Line = papers co-authored together Haijun Su links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200973
2 201954
3 201033
4 200926
5 202025
6 201625
7 200822
8 202020
9 201620
10 201518
11 200918
12 201015
13 201913
14 201113
15 200310
16 202210
17 201710
18 20198
19 20247
20 20207

About Haijun Su

Haijun Su is a scholar working on Ecological Modeling, Ecology, Nature and Landscape Conservation, Global and Planetary Change and Genetics, having authored 57 papers that have together received 530 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), Amphibian and Reptile Biology (6 papers), Ecology and Vegetation Dynamics Studies (6 papers), Avian ecology and behavior (5 papers), Identification and Quantification in Food (5 papers) and Coronary Interventions and Diagnostics (5 papers). The work is most often cited by research in Ecological Modeling (45 citations), Ecology (104 citations), Developmental Biology (8 citations), Artificial Intelligence (119 citations) and Global and Planetary Change (67 citations). Haijun Su has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Yupu Yang, Liang Y. Zhao, Feng Qian, Yong Zeng, Ping Xu, Cuiqing Ma, Chunyu Yang, Mingming Zhang, Qi Zhao and Liang Zhao. Their work appears in journals such as Global Ecology and Conservation, ZooKeys, Animals, Ecology and Evolution and International journal of cardiac imaging.

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.

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