Chenxin Ma

813 citations
14 papers · 339 · h-index 6

Impact in

Papers in

Chenxin Ma

13 papers receiving 333 citations

Peers

Chenxin Ma
Comparison fields: 5 of 70
  • Artificial Intelligence 193
  • Management Information Systems 46
  • Computer Science Applications 28
  • Management Science and Operations Research 51
  • Computer Networks and Communications 88
Replace Josef Küng with:
Josef Küng Austria
Rad Niazadeh United States
Yong Sun China
Rahim Ghasemiyeh Iran
Michał Śmiałek Poland
Hao‐Chun Lu Taiwan
Michelle Cartwright United Kingdom
Chenxin Ma relative to Josef Küng Austria Josef Küng's profile →
Citations per field
00.5×2.8×
Josef Küng · 1×
Citations per year

Countries citing papers authored by Chenxin Ma

Since Specialization
Citations

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

Fields of papers citing papers by Chenxin Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2017125
2 201882
3 202274
4 202027
5 20248
6 20227
7
Predicting reference evaportranspiration based on artificial neural network with genic arithmetic
20055
8 20233
9 20232
10 20192
11 20112
12 20241
13 20221
14 20240

About Chenxin Ma

Chenxin Ma is a scholar working on Management Information Systems, Artificial Intelligence, Management Science and Operations Research, Aerospace Engineering and Electrical and Electronic Engineering, having authored 14 papers that have together received 339 indexed citations. Recurring topics across this work include Supply Chain and Inventory Management (3 papers), Microwave Engineering and Waveguides (3 papers), Advanced Antenna and Metasurface Technologies (3 papers), Stochastic Gradient Optimization Techniques (3 papers), Sparse and Compressive Sensing Techniques (2 papers), Forecasting Techniques and Applications (2 papers), Advanced Queuing Theory Analysis (1 paper) and Magnetic Bearings and Levitation Dynamics (1 paper). The work is most often cited by research in Artificial Intelligence (193 citations), Management Information Systems (46 citations), Computer Science Applications (28 citations), Management Science and Operations Research (51 citations) and Computer Networks and Communications (88 citations). Chenxin Ma has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Michael I. Jordan, Martin Jaggi, Virginia Smith, Martin Takáč, Jakub Konečný, Peter Richtárik, Meng Qi, Rong Yuan, Zuo‐Jun Max Shen and Yuanyuan Shi. Their work appears in journals such as Optimization methods & software, Kybernetes, Management Science, Journal of Machine Learning Research and Finance research letters.

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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