Chi‐Kuei Wang
Impact in
- Environmental Engineering top 5%
- Remote Sensing and LiDAR Applications
- Geology top 5%
- 3D Surveying and Cultural Heritage
Papers in
-
- Remote Sensing and LiDAR Applications 23
- Geology 9
- 3D Surveying and Cultural Heritage 9
- Co-authors
- William PhilpotHone‐Jay ChuChunyu LiuHuang Hsing PanFu‐Chun WuM Linder TiaYu‐Chieh ChengTzu‐Ping Lin
- Journals
- IEEE Geoscience and Remote Sensing Letters (3 papers)GIScience & Remote Sensing (3 papers)Remote Sensing of Environment (2 papers)Remote Sensing (2 papers)Sensors (2 papers)
- Partner nations
- TaiwanJapanUnited States
In The Last Decade
Chi‐Kuei Wang
39 papers receiving 535 citations
Peers
Comparison fields: 5 of 70
- Environmental Engineering 301
- Geology 103
- Nuclear Energy and Engineering 6
- Space and Planetary Science 13
- Instrumentation 25
Countries citing papers authored by Chi‐Kuei Wang
This map shows the geographic impact of Chi‐Kuei 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 Chi‐Kuei Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chi‐Kuei Wang more than expected).
Fields of papers citing papers by Chi‐Kuei Wang
This network shows the impact of papers produced by Chi‐Kuei 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 Chi‐Kuei Wang. The network helps show where Chi‐Kuei Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chi‐Kuei 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 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 3 | |
| 5 | 2023 | 2 | |
| 6 | 2021 | 11 | |
| 7 | 2021 | 5 | |
| 8 | 2021 | 7 | |
| 9 | 2020 | 9 | |
| 10 | 2019 | 31 | |
| 11 | 2019 | 35 | |
| 12 | 2018 | 3 | |
| 13 | 2017 | 15 | |
| 14 | 2016 | 3 | |
| 15 | 2015 | 12 | |
| 16 | 2011 | 8 | |
| 17 | 2011 | 0 | |
| 18 | Acquiring underwater DSM using close-range photogrammetry | 2011 | 0 |
| 19 | 2006 | 164 | |
| 20 | 1998 | 3 |
About Chi‐Kuei Wang
Chi‐Kuei Wang is a scholar working on Environmental Engineering, Geology, Soil Science, Instrumentation and Ecology, having authored 44 papers that have together received 562 indexed citations. Recurring topics across this work include Remote Sensing and LiDAR Applications (23 papers), Hydrology and Sediment Transport Processes (10 papers), Soil erosion and sediment transport (9 papers), 3D Surveying and Cultural Heritage (9 papers), Remote Sensing in Agriculture (4 papers), Forest Ecology and Biodiversity Studies (4 papers), Forest ecology and management (3 papers) and Remote-Sensing Image Classification (3 papers). The work is most often cited by research in Environmental Engineering (301 citations), Geology (103 citations), Nuclear Energy and Engineering (6 citations), Space and Planetary Science (13 citations) and Instrumentation (25 citations). Chi‐Kuei Wang has collaborated with scholars based in Taiwan, Japan and United States. Frequent co-authors include William Philpot, Hone‐Jay Chu, Chunyu Liu, Huang Hsing Pan, Fu‐Chun Wu, M Linder Tia, Yu‐Chieh Cheng, Tzu‐Ping Lin, Tsuyoshi Honjo and Yu-Cheng Chen. Their work appears in journals such as IEEE Geoscience and Remote Sensing Letters, GIScience & Remote Sensing, Remote Sensing of Environment, Remote Sensing and Sensors.
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.