Siqi Yang
Impact in
- Ecological Modeling top 5%
- Erosion and Abrasive Machining
- Ocean Engineering top 10%
- Particle Dynamics in Fluid Flows
Papers in
-
- Remote Sensing and Land Use 4
- Ecology 7
- Remote Sensing in Agriculture 7
- Co-authors
- Wenjie Fan (10 shared papers)Jianchun Fan (5 shared papers)Laibin Zhang (3 shared papers)Huazhong Ren (4 shared papers)Yaokui Cui (1 shared paper)Jiangyuan Zeng (1 shared paper)Hongbo Qiao (1 shared paper)Peijun Li (1 shared paper)
- Journals
- Tribology International (2 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Journal of Computational Science (1 paper)Wear (1 paper)Journal of Natural Gas Science and Engineering (1 paper)
- Partner nations
- ChinaBangladeshUnited States
In The Last Decade
Siqi Yang
24 papers receiving 264 citations
Peers
Comparison fields: 5 of 60
- Ecological Modeling 80
- Ocean Engineering 59
- Environmental Engineering 45
- Atmospheric Science 48
- Global and Planetary Change 50
Countries citing papers authored by Siqi Yang
This map shows the geographic impact of Siqi Yang'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 Siqi Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Siqi Yang more than expected).
Fields of papers citing papers by Siqi Yang
This network shows the impact of papers produced by Siqi Yang. 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 Siqi Yang. The network helps show where Siqi Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Siqi Yang, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 79 | |
| 2 | 2022 | 44 | |
| 3 | 2021 | 36 | |
| 4 | 2020 | 30 | |
| 5 | 2023 | 18 | |
| 6 | 2023 | 13 | |
| 7 | 2022 | 12 | |
| 8 | 2024 | 5 | |
| 9 | 2023 | 5 | |
| 10 | 2019 | 4 | |
| 11 | 2023 | 4 | |
| 12 | 2023 | 3 | |
| 13 | 2024 | 2 | |
| 14 | 2025 | 2 | |
| 15 | 2023 | 2 | |
| 16 | 2019 | 2 | |
| 17 | 2025 | 1 | |
| 18 | 2023 | 1 | |
| 19 | 2023 | 1 | |
| 20 | 2025 | 1 |
About Siqi Yang
Siqi Yang is a scholar working on Atmospheric Science, Ecology, Environmental Engineering, Global and Planetary Change and Ecological Modeling, having authored 29 papers that have together received 269 indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (7 papers), Remote Sensing and LiDAR Applications (6 papers), Erosion and Abrasive Machining (6 papers), Particle Dynamics in Fluid Flows (4 papers), Remote Sensing and Land Use (4 papers), Leaf Properties and Growth Measurement (3 papers), Coal Combustion and Slurry Processing (3 papers) and High-Temperature Coating Behaviors (2 papers). The work is most often cited by research in Ecological Modeling (80 citations), Ocean Engineering (59 citations), Environmental Engineering (45 citations), Atmospheric Science (48 citations) and Global and Planetary Change (50 citations). Siqi Yang has collaborated with scholars based in China, Bangladesh and United States. Frequent co-authors include Wenjie Fan, Jianchun Fan, Laibin Zhang, Huazhong Ren, Yaokui Cui, Jiangyuan Zeng, Hongbo Qiao, Peijun Li, Jie Li and Chunyang Fan. Their work appears in journals such as Tribology International, IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Computational Science, Wear and Journal of Natural Gas Science and Engineering.
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.