Ting On Chan

77 total papers · 1.1k total citations
55 papers, 824 citations indexed

About

Ting On Chan is a scholar working on Environmental Engineering, Geology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ting On Chan has authored 55 papers receiving a total of 824 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Environmental Engineering, 22 papers in Geology and 13 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ting On Chan's work include 3D Surveying and Cultural Heritage (22 papers), Remote Sensing and LiDAR Applications (18 papers) and Optical measurement and interference techniques (10 papers). Ting On Chan is often cited by papers focused on 3D Surveying and Cultural Heritage (22 papers), Remote Sensing and LiDAR Applications (18 papers) and Optical measurement and interference techniques (10 papers). Ting On Chan collaborates with scholars based in China, Canada and United Kingdom. Ting On Chan's co-authors include Derek D. Lichti, Ming Luo, David Belton, Yeran Sun, Feng Xu, Guicai Ning, Craig Glennie, Sijia Wu, Xianmin Hu and Paul G. Myers and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Remote Sensing of Environment.

In The Last Decade

Ting On Chan

52 papers receiving 796 citations

Hit Papers

Anthropogenic forcing has... 2024 2026 2024 10 20 30 40

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ting On Chan 341 284 218 209 128 55 824
Yanmin Jin 303 0.9× 247 0.9× 94 0.4× 166 0.8× 48 0.4× 80 1000
Kerry Cawse‐Nicholson 522 1.5× 320 1.1× 169 0.8× 99 0.5× 77 0.6× 54 880
Yanjun Wang 354 1.0× 247 0.9× 122 0.6× 195 0.9× 70 0.5× 51 792
Thomas J. Pingel 457 1.3× 252 0.9× 192 0.9× 237 1.1× 37 0.3× 37 842
Xinming Tang 313 0.9× 147 0.5× 185 0.8× 156 0.7× 42 0.3× 100 888
Claudio Parente 348 1.0× 271 1.0× 120 0.6× 77 0.4× 33 0.3× 69 924
Yonglin Shen 288 0.8× 187 0.7× 176 0.8× 115 0.6× 96 0.8× 50 1.0k
Tuong Thuy Vu 312 0.9× 136 0.5× 129 0.6× 171 0.8× 24 0.2× 49 814
Fevzi Karslı 291 0.9× 242 0.9× 118 0.5× 90 0.4× 60 0.5× 47 809
Marco Gianinetto 194 0.6× 173 0.6× 127 0.6× 91 0.4× 20 0.2× 76 901

Countries citing papers authored by Ting On Chan

Since Specialization
Citations

This map shows the geographic impact of Ting On Chan'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 Ting On Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ting On Chan more than expected).

Fields of papers citing papers by Ting On Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ting On Chan. 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 Ting On Chan. The network helps show where Ting On Chan may publish in the future.

Co-authorship network of co-authors of Ting On Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Ting On Chan. A scholar is included among the top collaborators of Ting On Chan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ting On Chan. Ting On Chan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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