Maolin Chen

59 papers receiving 471 citations

Peers

Maolin Chen
Comparison fields: 5 of 102
  • Geology 69
  • Environmental Engineering 124
  • Media Technology 57
  • Analytical Chemistry 48
  • Computer Vision and Pattern Recognition 65
Replace Xiaoliang Wu with:
Xiaoliang Wu China
Arnaud Le Bris France
Shuyang Li China
Jorge Antônio Silva Centeno Brazil
Nathaniel Joseph C. Libatique Philippines
Yizhuo Zhang China
Minhua Yang China
Lloyd Windrim Australia
Yannik Rist Australia
Alfonso López Spain
Maolin Chen relative to Xiaoliang Wu China Xiaoliang Wu's profile →
Citations per field
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Xiaoliang Wu · 1×
Citations per year

Countries citing papers authored by Maolin Chen

Since Specialization
Citations

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

Fields of papers citing papers by Maolin Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maolin Chen. 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 Maolin Chen. The network helps show where Maolin Chen may publish in the future.

Co-authors

The 25 scholars most cited alongside Maolin Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Maolin Chen Line = papers co-authored together Maolin Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201845
2 202333
3 201832
4 201931
5 201830
6 201827
7 202120
8 202218
9 202118
10 202116
11 202012
12 202312
13 202111
14 201811
15 202410
16 20239
17 20249
18 20177
19 20237
20 20056

About Maolin Chen

Maolin Chen is a scholar working on Geology, Environmental Engineering, Media Technology, Computer Vision and Pattern Recognition and Aerospace Engineering, having authored 64 papers that have together received 479 indexed citations. Recurring topics across this work include Remote Sensing and LiDAR Applications (20 papers), 3D Surveying and Cultural Heritage (16 papers), Remote-Sensing Image Classification (11 papers), Remote Sensing in Agriculture (7 papers), Metaheuristic Optimization Algorithms Research (5 papers), Robotics and Sensor-Based Localization (5 papers), Remote Sensing and Land Use (4 papers) and Human Pose and Action Recognition (3 papers). The work is most often cited by research in Geology (69 citations), Environmental Engineering (124 citations), Media Technology (57 citations), Analytical Chemistry (48 citations) and Computer Vision and Pattern Recognition (65 citations). Maolin Chen has collaborated with scholars based in China, Taiwan and South Korea. Frequent co-authors include Mingwei Wang, Jingzhong Xu, Youchuan Wan, Xucong Lin, Zenghong Xie, Jianping Pan, Zhaoqiang Huang, Yiqiong Chen, Lijun Deng and Yongxuan Chen. Their work appears in journals such as Remote Sensing, IEEE Transactions on Geoscience and Remote Sensing, International Journal of Applied Earth Observation and Geoinformation, Applied Soft Computing and Expert Systems with Applications.

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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