Tiejun Wang
- Ecological Modeling top 0.5%
- Species Distribution and Climate Change 49
- Environmental Engineering top 0.2%
- Remote Sensing and LiDAR Applications 45
- Ecology top 0.2%
- Remote Sensing in Agriculture 69
- Wildlife Ecology and Conservation 46
- Polymers and Plastics top 0.5%
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- Ecology and Vegetation Dynamics Studies 24
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- Metal Forming Simulation Techniques 18
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- Land Use and Ecosystem Services 17
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- High-Velocity Impact and Material Behavior 16
- Co-authors
- Andrew K. SkidmoreH. Jerry QiMartin L. DunnZhen DingRoshanak DarvishzadehQian ShiXueling FanXiao Kuang
- Journals
- Remote Sensing (16 papers)International Journal of Applied Earth Observation and Geoinformation (15 papers)Engineering Fracture Mechanics (13 papers)
- Partner nations
- ChinaNetherlandsAustralia
In The Last Decade
Tiejun Wang
327 papers receiving 11.9k citations
Hit Papers
Peers
Comparison fields: 5 of 186
- Ecological Modeling 1.2k
- Environmental Engineering 2.1k
- Ecology 3.6k
- Polymers and Plastics 1.7k
- Nature and Landscape Conservation 1.2k
Countries citing papers authored by Tiejun Wang
This map shows the geographic impact of Tiejun 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 Tiejun Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tiejun Wang more than expected).
Fields of papers citing papers by Tiejun Wang
This network shows the impact of papers produced by Tiejun 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 Tiejun Wang. The network helps show where Tiejun Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tiejun 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 22 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 3 | |
| 9 | 2024 | 1 | |
| 10 | 2024 | 2 | |
| 11 | 2023 | 7 | |
| 12 | 2023 | 5 | |
| 13 | 2023 | 12 | |
| 14 | 2023 | 1 | |
| 15 | 2021 | 58 | |
| 16 | 2021 | 12 | |
| 17 | 2021 | 19 | |
| 18 | 2019 | 20 | |
| 19 | 2018 | 26 | |
| 20 | 2010 | 33 |
About Tiejun Wang
Tiejun Wang is a scholar working on Ecological Modeling, Ecology and Environmental Engineering, having authored 339 papers that have together received 12.2k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (69 papers), Species Distribution and Climate Change (49 papers), Wildlife Ecology and Conservation (46 papers), Remote Sensing and LiDAR Applications (45 papers), Ecology and Vegetation Dynamics Studies (24 papers), Metal Forming Simulation Techniques (18 papers), Land Use and Ecosystem Services (17 papers) and High-Velocity Impact and Material Behavior (16 papers). The work is most often cited by research in Ecological Modeling (1.2k citations), Environmental Engineering (2.1k citations) and Ecology (3.6k citations). Tiejun Wang has collaborated with scholars based in China, Netherlands and Australia. Frequent co-authors include Andrew K. Skidmore, H. Jerry Qi, Martin L. Dunn, Zhen Ding, Roshanak Darvishzadeh, Qian Shi, Xueling Fan, Xiao Kuang, Chao Yuan and Kai Yu. Their work appears in journals such as Remote Sensing, International Journal of Applied Earth Observation and Geoinformation, Engineering Fracture Mechanics, ISPRS Journal of Photogrammetry and Remote Sensing and Ecological Indicators.
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.