Lan Ma

862 citations
49 papers · 582 · h-index 13

Impact in

Papers in

Lan Ma

44 papers receiving 567 citations

Peers

Lan Ma
Comparison fields: 5 of 102
  • Computer Vision and Pattern Recognition 236
  • Computational Mathematics 6
  • Cognitive Neuroscience 164
  • Computer Graphics and Computer-Aided Design 27
  • Signal Processing 66
Replace Ozan Özdenizci with:
Ozan Özdenizci Austria
Yikai Wang China
Zhikai Chen China
Elisavet Chatzilari Greece
Bruno Cornelis Belgium
Eva Cheng Australia
Mathew Salvaris United Kingdom
Ziyu Wan Hong Kong
Junming Zhang China
Lan Ma relative to Ozan Özdenizci Austria Ozan Özdenizci's profile →
Citations per field
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Ozan Özdenizci · 1×
Citations per year

Countries citing papers authored by Lan Ma

Since Specialization
Citations

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

Fields of papers citing papers by Lan Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Lan 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 Lan Ma Line = papers co-authored together Lan 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 201592
2 201772
3 202146
4 202239
5 201438
6 202237
7 201331
8 202325
9 202024
10 202019
11 202115
12 202214
13 202314
14 202212
15 202111
16 202210
17 20129
18 20169
19 20217
20 20236

About Lan Ma

Lan Ma is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Cognitive Neuroscience, Artificial Intelligence and Media Technology, having authored 49 papers that have together received 582 indexed citations. Recurring topics across this work include Advanced Image Processing Techniques (6 papers), EEG and Brain-Computer Interfaces (6 papers), Neural dynamics and brain function (5 papers), Advancements in Semiconductor Devices and Circuit Design (5 papers), Advanced Memory and Neural Computing (4 papers), Radiation Effects in Electronics (4 papers), Semiconductor materials and devices (4 papers) and Advanced Vision and Imaging (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (236 citations), Computational Mathematics (6 citations), Cognitive Neuroscience (164 citations), Computer Graphics and Computer-Aided Design (27 citations) and Signal Processing (66 citations). Lan Ma has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include William Yang Wang, Thierry Blu, James W. Minett, Jiajun Shen, Xinbo Gao, Feiping Nie, Quanxue Gao, Wenbo Li, Xiaojuan Qi and Hongzhi Qi. Their work appears in journals such as Nanotechnology, IEEE Journal of the Electron Devices Society, Building and Environment, PLoS ONE and IEEE Signal Processing 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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