Fei Ma

96 papers receiving 1.6k citations

Peers

Fei Ma
Comparison fields: 5 of 126
  • Analytical Chemistry 300
  • Biophysics 97
  • Environmental Engineering 233
  • Ecology 267
  • Industrial and Manufacturing Engineering 89
Replace Ronald Soong with:
Ronald Soong Canada
Martin Trtílek Czechia
Torben Nielsen United States
Guy Le Brun France
Catherine Berthomieu France
P. John United Kingdom
Timothy W. Collette United States
Maria Teresa Giardi Italy
Christopher Anderton United States
Jorge O. Cáceres Spain
Fei Ma relative to Ronald Soong Canada Ronald Soong's profile →
Citations per field
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Citations per year

Countries citing papers authored by Fei Ma

Since Specialization
Citations

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

Fields of papers citing papers by Fei Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 101 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202193
2 202183
3 201676
4 201968
5 202052
6 201949
7 201743
8 202041
9 201238
10 201337
11 202136
12 200835
13 201634
14 201234
15 201834
16 201630
17 202130
18 201630
19 201128
20 201528

About Fei Ma

Fei Ma is a scholar working on Molecular Biology, Plant Science, Atomic and Molecular Physics, and Optics, Environmental Engineering and Cellular and Molecular Neuroscience, having authored 101 papers that have together received 1.7k indexed citations. Recurring topics across this work include Photosynthetic Processes and Mechanisms (27 papers), Spectroscopy and Quantum Chemical Studies (19 papers), Photoreceptor and optogenetics research (13 papers), Soil Geostatistics and Mapping (10 papers), Geochemistry and Geologic Mapping (10 papers), Spectroscopy and Chemometric Analyses (9 papers), Remote Sensing in Agriculture (8 papers) and Laser-induced spectroscopy and plasma (7 papers). The work is most often cited by research in Analytical Chemistry (300 citations), Biophysics (97 citations), Environmental Engineering (233 citations), Ecology (267 citations) and Industrial and Manufacturing Engineering (89 citations). Fei Ma has collaborated with scholars based in China, Japan and Netherlands. Frequent co-authors include Jianmin Zhou, Yazhen Shen, Xuebin Xu, Rienk van Grondelle, Zhe Xing, Zhenwang Li, Zheng‐Yu Wang‐Otomo, Long‐Jiang Yu, Michael R. Jones and Vladimir I. Novoderezhkin. Their work appears in journals such as The Journal of Physical Chemistry Letters, Remote Sensing, Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy, The Journal of Physical Chemistry B and Biochimica et Biophysica Acta (BBA) - Bioenergetics.

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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