Mingzhen Chen

1.9k citations
41 papers · 1.5k · h-index 15

Impact in

  • Ecology top 2%
    • Remote Sensing in Agriculture
    • Soil Moisture and Remote Sensing
    • Urban Heat Island Mitigation
    • Remote Sensing and LiDAR Applications

Papers in

Mingzhen Chen

35 papers receiving 1.5k citations

Peers

Mingzhen Chen
Comparison fields: 5 of 96
  • Ecology 709
  • Environmental Engineering 223
  • Global and Planetary Change 347
  • Atmospheric Science 97
  • Aerospace Engineering 158
Replace Yadong Dong with:
Yadong Dong China
Xianyong Meng China
Wanxiao Sun United States
Sergio Teggi Italy
Johannes Keller Switzerland
Jianyu Gu China
Peter Regner Austria
Wenli Zhao China
Zhijie Wu China
Hongwei Zheng China
Mingzhen Chen relative to Yadong Dong China Yadong Dong's profile →
Citations per field
00.5×2×3×3.6×
Yadong Dong · 1×
Citations per year

Countries citing papers authored by Mingzhen Chen

Since Specialization
Citations

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

Fields of papers citing papers by Mingzhen Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mingzhen 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 Mingzhen Chen Line = papers co-authored together Mingzhen Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002313
2 2006266
3 2002224
4 2006187
5 2002103
6 201953
7 201252
8 202345
9 202129
10 201227
11 201326
12 202025
13 202119
14 202219
15 202318
16
Atmospheric Correction of Landsat ETM+ Land Surface Imagery—Part I: Methods
200112
17 202112
18 201310
19 202010
20 20219

About Mingzhen Chen

Mingzhen Chen is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology, Ecology, Museology and Hematology, having authored 41 papers that have together received 1.5k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (6 papers), Remote Sensing in Agriculture (6 papers), Metal complexes synthesis and properties (4 papers), Electrowetting and Microfluidic Technologies (3 papers), Fashion and Cultural Textiles (2 papers), Calibration and Measurement Techniques (2 papers), Satellite Image Processing and Photogrammetry (2 papers) and Kidney Stones and Urolithiasis Treatments (2 papers). The work is most often cited by research in Ecology (709 citations), Environmental Engineering (223 citations), Global and Planetary Change (347 citations), Atmospheric Science (97 citations) and Aerospace Engineering (158 citations). Mingzhen Chen has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Jing M. Chen, Feng Deng, Shunlin Liang, Hongliang Fang, Craig S. T. Daughtry, Jan Písek, Stephen Plummer, J. T. Morisette, Alan H. Strahler and Crystal Schaaf. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, Remote Sensing of Environment, International Journal of Oncology, Frontiers in Medicine and Academic Radiology.

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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