Wen Ma

2k citations
24 papers · 1.7k · 2 hit papers · h-index 13

Impact in

Papers in

Wen Ma

23 papers receiving 1.7k citations

Wen Ma's Hit Papers

Temporal data classification and forecasting using a memristor-based reservoir computing system 2019 · 552 citations
5520+3+6Years since publication100200300400500

Peers

Wen Ma
Comparison fields: 5 of 63
  • Electrical and Electronic Engineering 1.1k
  • Artificial Intelligence 417
  • Computer Vision and Pattern Recognition 181
  • Hardware and Architecture 42
  • Geochemistry and Petrology 27
Replace Xiaochao Li with:
Xiaochao Li China
Qi Wang China
Martin Litzenberger Austria
Ding Wang China
Qin Li China
Weijie Xu China
Jinghe Wang China
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Wen Ma relative to Xiaochao Li China Xiaochao Li's profile →
Citations per field
00.5×5×10.1×
Xiaochao Li · 1×
Citations per year

Countries citing papers authored by Wen Ma

Since Specialization
Citations

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

Fields of papers citing papers by Wen Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Sparse coding with memristor networks
Hit paper breakdown →
2017553
2
Temporal data classification and forecasting using a memristor-based reservoir computing system
Hit paper breakdown →
2019552
3 2015119
4 2021114
5 202268
6 202053
7 202145
8 201942
9 202326
10 202324
11 202221
12 202018
13 201914
14 201810
15 20219
16 20188
17 20206
18 20244
19 20254
20 20122

About Wen Ma

Wen Ma is a scholar working on Computer Vision and Pattern Recognition, Hardware and Architecture, Artificial Intelligence, Electrical and Electronic Engineering and Oral Surgery, having authored 24 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (7 papers), Advanced Neural Network Applications (7 papers), Network Packet Processing and Optimization (3 papers), Geochemistry and Geologic Mapping (3 papers), Neural Networks and Reservoir Computing (2 papers), Spam and Phishing Detection (1 paper), Topic Modeling (1 paper) and Dental Radiography and Imaging (1 paper). The work is most often cited by research in Electrical and Electronic Engineering (1.1k citations), Artificial Intelligence (417 citations), Computer Vision and Pattern Recognition (181 citations), Hardware and Architecture (42 citations) and Geochemistry and Petrology (27 citations). Wen Ma has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Wei Dong Lu, Fuxi Cai, Chao Du, Patrick M. Sheridan, Zhengya Zhang, Jong Hoon Shin, Seung Hwan Lee, Peng Lin, Zhenhao Xu and Heng Shi. Their work appears in journals such as Expert Systems with Applications, IEEE Access, Journal of Rock Mechanics and Geotechnical Engineering, Nature Electronics and Computers & Geosciences.

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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