He Huang
Impact in
- Global and Planetary Change top 10%
- Land Use and Ecosystem Services
- Flood Risk Assessment and Management
- Neurology top 10%
- Brain Tumor Detection and Classification
Papers in
-
- Remote Sensing and Land Use 19
-
- Advanced Neural Network Applications 7
- Co-authors
- Ankit Garg (2 shared papers)Narala Gangadhara Reddy (2 shared papers)Tianjian Chen (2 shared papers)Yun Luo (2 shared papers)Qiang Yang (2 shared papers)Anbu Huang (2 shared papers)Youzhi Liu (2 shared papers)Yuanyuan Chen (1 shared paper)
- Journals
- Scientific Reports (3 papers)IEEE Sensors Journal (3 papers)Sustainability (3 papers)Remote Sensing (3 papers)ISPRS International Journal of Geo-Information (2 papers)
- Partner nations
- ChinaSouth KoreaUnited States
In The Last Decade
He Huang
88 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 121
- Global and Planetary Change 238
- Neurology 92
- Computer Vision and Pattern Recognition 189
- Environmental Engineering 128
- Pollution 94
Countries citing papers authored by He Huang
This map shows the geographic impact of He Huang'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 He Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites He Huang more than expected).
Fields of papers citing papers by He Huang
This network shows the impact of papers produced by He Huang. 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 He Huang. The network helps show where He Huang may publish in the future.
Co-authors
The 25 scholars most cited alongside He Huang, 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 98 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 192 | |
| 2 | 2021 | 133 | |
| 3 | 2021 | 100 | |
| 4 | 2021 | 61 | |
| 5 | 1998 | 54 | |
| 6 | 2020 | 45 | |
| 7 | 2015 | 45 | |
| 8 | 2020 | 40 | |
| 9 | 2020 | 36 | |
| 10 | 2020 | 23 | |
| 11 | 2022 | 21 | |
| 12 | 2020 | 21 | |
| 13 | 2018 | 21 | |
| 14 | 2016 | 18 | |
| 15 | 2011 | 15 | |
| 16 | 2017 | 14 | |
| 17 | 2023 | 13 | |
| 18 | 2018 | 12 | |
| 19 | 2013 | 12 | |
| 20 | 2018 | 12 |
About He Huang
He Huang is a scholar working on Atmospheric Science, Computer Vision and Pattern Recognition, Global and Planetary Change, Aerospace Engineering and Ecology, having authored 98 papers that have together received 1.1k indexed citations. Recurring topics across this work include Remote Sensing and Land Use (19 papers), Remote Sensing in Agriculture (14 papers), Remote Sensing and LiDAR Applications (12 papers), Robotics and Sensor-Based Localization (10 papers), 3D Surveying and Cultural Heritage (9 papers), Advanced Neural Network Applications (7 papers), Environmental Changes in China (7 papers) and Indoor and Outdoor Localization Technologies (7 papers). The work is most often cited by research in Global and Planetary Change (238 citations), Neurology (92 citations), Computer Vision and Pattern Recognition (189 citations), Environmental Engineering (128 citations) and Pollution (94 citations). He Huang has collaborated with scholars based in China, South Korea and United States. Frequent co-authors include Ankit Garg, Narala Gangadhara Reddy, Tianjian Chen, Yun Luo, Qiang Yang, Anbu Huang, Youzhi Liu, Yuanyuan Chen, Yang Liu and Han Yu. Their work appears in journals such as Scientific Reports, IEEE Sensors Journal, Sustainability, Remote Sensing and ISPRS International Journal of Geo-Information.
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.