Junshui Ma

49 papers receiving 2.7k citations

Junshui Ma's Hit Papers

Extreme Gradient Boosting as a Method for Quantitative Structure–Activity Relationships 2016 · 403 citations
4030+3+7Years since publication250500750

Peers

Junshui Ma
Comparison fields: 5 of 177
  • Computational Theory and Mathematics 828
  • Endocrine and Autonomic Systems 161
  • Cognitive Neuroscience 445
  • Signal Processing 225
  • Experimental and Cognitive Psychology 252
Replace Vladimir Svetnik with:
Vladimir Svetnik United States
Alejandro Pazos Spain
Ziyu Wang China
Jinbo Bi United States
Holger Fröhlich Germany
Polina Mamoshina United States
W.J. Melssen Netherlands
Lihua Li China
Michael A. Henson United States
Tapio Pahikkala Finland
Junshui Ma relative to Vladimir Svetnik United States Vladimir Svetnik's profile →
Citations per field
00.5×1.5×2.4×
Vladimir Svetnik · 1×
Citations per year

Countries citing papers authored by Junshui Ma

Since Specialization
Citations

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

Fields of papers citing papers by Junshui Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Deep Neural Nets as a Method for Quantitative Structure–Activity Relationships
Hit paper breakdown →
2015798
2
Extreme Gradient Boosting as a Method for Quantitative Structure–Activity Relationships
Hit paper breakdown →
2016403
3 2003286
4 2017176
5 2020146
6 2003134
7 2013132
8 200268
9 201558
10 200746
11 201646
12 201443
13 201040
14 201236
15 200336
16 201832
17 201223
18 200520
19 201620
20 201018

About Junshui Ma

Junshui Ma is a scholar working on Cognitive Neuroscience, Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition and Oncology, having authored 49 papers that have together received 2.7k indexed citations. Recurring topics across this work include Sleep and Wakefulness Research (8 papers), EEG and Brain-Computer Interfaces (7 papers), Sleep and related disorders (6 papers), Advanced SAR Imaging Techniques (5 papers), Cancer Immunotherapy and Biomarkers (5 papers), Face and Expression Recognition (4 papers), Blind Source Separation Techniques (4 papers) and Neural Networks and Applications (4 papers). The work is most often cited by research in Computational Theory and Mathematics (828 citations), Endocrine and Autonomic Systems (161 citations), Cognitive Neuroscience (445 citations), Signal Processing (225 citations) and Experimental and Cognitive Psychology (252 citations). Junshui Ma has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Robert P. Sheridan, Andy Liaw, Vladimir Svetnik, Simon Perkins, George E. Dahl, James Theiler, Eric Gifford, Wei Min Wang, Yuting Xu and Christopher Lines. Their work appears in journals such as Journal of Clinical Oncology, SLEEP, Journal of Chemical Information and Modeling, Neurocomputing and Journal of Sleep Research.

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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