Junyi Ma

797 citations
38 papers · 596 · h-index 14

Impact in

Papers in

Junyi Ma

35 papers receiving 591 citations

Peers

Junyi Ma
Comparison fields: 5 of 99
  • Cellular and Molecular Neuroscience 115
  • Physiology 134
  • Animal Science and Zoology 39
  • Neurology 24
  • Behavioral Neuroscience 10
Replace Atul P. Daiwile with:
Atul P. Daiwile United States
Dariusz Orłowski Denmark
Chris C. Stowers United States
Dale W. Sickles United States
Mária Bagyánszki Hungary
Lorena López‐Ferreras Sweden
Tongtong Wang China
Maria Grazia Zizzo Italy
Ken‐ichiro Nakajima Japan
A. Richter Germany
Junyi Ma relative to Atul P. Daiwile United States Atul P. Daiwile's profile →
Citations per field
00.5×3.1×
Atul P. Daiwile · 1×
Citations per year

Countries citing papers authored by Junyi Ma

Since Specialization
Citations

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

Fields of papers citing papers by Junyi Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202266
2 200660
3 201856
4 200252
5 202235
6 202133
7 202131
8 202429
9 200625
10 202022
11 200122
12 202216
13 202016
14 202414
15 202413
16 202512
17 202211
18 202211
19 200111
20 202210

About Junyi Ma

Junyi Ma is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Physiology, Neurology and Computer Vision and Pattern Recognition, having authored 38 papers that have together received 596 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (5 papers), Advanced Image Fusion Techniques (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Remote-Sensing Image Classification (3 papers), Advanced Neuroimaging Techniques and Applications (3 papers), Functional Brain Connectivity Studies (3 papers), Microgrid Control and Optimization (2 papers) and Remote Sensing and Land Use (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (115 citations), Physiology (134 citations), Animal Science and Zoology (39 citations), Neurology (24 citations) and Behavioral Neuroscience (10 citations). Junyi Ma has collaborated with scholars based in China, United States and Pakistan. Frequent co-authors include Zhizhong Z. Pan, Zhi‐Qi Zhao, Yong Zhang, Weijun Zhou, Ahsan Ayyaz, Muhammad Ahsan Farooq, Fakhir Hannan, Yun Xu, Pengfei Shao and Zhi-Qi Zhao. Their work appears in journals such as Frontiers in Neurology, Drones, Frontiers in Neuroscience, Frontiers in Aging Neuroscience and Neuroreport.

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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