Ming Jin

1.0k citations
71 papers · 799 · h-index 15

Impact in

Papers in

Ming Jin

69 papers receiving 782 citations

Peers

Ming Jin
Comparison fields: 5 of 90
  • Analytical Chemistry 91
  • Aerospace Engineering 221
  • Ecology 197
  • Environmental Engineering 91
  • Media Technology 34
Replace Stefano Cecchi with:
Stefano Cecchi Italy
Rahul Nigam India
Miao Tian China
Ping Zhang China
Liang Mei China
Avishai Ben‐David United States
Christelle Gée France
P. Blanchard United Kingdom
Xin Qi China
Jerold R. Bottiger United States
Ming Jin relative to Stefano Cecchi Italy Stefano Cecchi's profile →
Citations per field
00.5×8.5×
Stefano Cecchi · 1×
Citations per year

Countries citing papers authored by Ming Jin

Since Specialization
Citations

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

Fields of papers citing papers by Ming Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011129
2 201858
3 201848
4 201542
5 201738
6 201228
7 201825
8 201722
9 202021
10 201820
11 201920
12 202017
13 202317
14 201616
15 201714
16
Ecological stoichiometric characteristics of carbon, nitrogen and phosphorus in leaf-litter-soil system of Picea crassifolia forest in the Qilian mountains.
201612
17 201912
18 201312
19 202011
20 201611

About Ming Jin

Ming Jin is a scholar working on Aerospace Engineering, Electrical and Electronic Engineering, Environmental Engineering, Atomic and Molecular Physics, and Optics and Ecology, having authored 71 papers that have together received 799 indexed citations. Recurring topics across this work include Soil Moisture and Remote Sensing (12 papers), Advanced Antenna and Metasurface Technologies (11 papers), Antenna Design and Optimization (10 papers), Remote Sensing in Agriculture (8 papers), Precipitation Measurement and Analysis (6 papers), Antenna Design and Analysis (6 papers), Catalytic C–H Functionalization Methods (6 papers) and Electromagnetic Simulation and Numerical Methods (6 papers). The work is most often cited by research in Analytical Chemistry (91 citations), Aerospace Engineering (221 citations), Ecology (197 citations), Environmental Engineering (91 citations) and Media Technology (34 citations). Ming Jin has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Ming Bai, Jieqiong Jiang, Meng Wang, Yifei Wu, Shanqin Wang, Ling Wu, Lantao Li, Shang‐Dong Yang, Meiling Liu and Xiangnan Liu. Their work appears in journals such as IEEE Transactions on Antennas and Propagation, IEEE Antennas and Wireless Propagation Letters, IEEE Geoscience and Remote Sensing Letters, IEEE Transactions on Geoscience and Remote Sensing and Electronics.

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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