Ming Luo

605 citations
53 papers · 471 · h-index 12

Impact in

Papers in

Ming Luo

49 papers receiving 442 citations

Peers

Ming Luo
Comparison fields: 5 of 68
  • Computer Networks and Communications 218
  • Information Systems 139
  • Artificial Intelligence 193
  • Signal Processing 34
  • Computer Vision and Pattern Recognition 55
Replace Yu-Ming Chang with:
Yu-Ming Chang Taiwan
Ruliang Xiao China
Zezhong Zhang China
Iyad Tumar Palestinian Territory
Siling Feng China
Xiaomin Zhang China
Chantana Chantrapornchai Thailand
Mohammed Abdulhammed Al-Shabi Saudi Arabia
Jae-Hyun Seo South Korea
Ming Luo relative to Yu-Ming Chang Taiwan Yu-Ming Chang's profile →
Citations per field
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Yu-Ming Chang · 1×
Citations per year

Countries citing papers authored by Ming Luo

Since Specialization
Citations

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

Fields of papers citing papers by Ming Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201876
2 201844
3 201731
4 202326
5 200826
6 202226
7 201824
8 201919
9 201318
10 202017
11
Spatial decision support system for the potential evaluation of land consolidation projects
200813
12 200812
13 200812
14 20148
15 20248
16 20218
17 20167
18 20237
19 20207
20
Texture feature extraction for land-cover classification of remote sensing data in land consolidation district using semi-variogram analysis
20087

About Ming Luo

Ming Luo is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition, Information Systems and Media Technology, having authored 53 papers that have together received 471 indexed citations. Recurring topics across this work include Cryptography and Data Security (22 papers), Advanced Authentication Protocols Security (14 papers), Security in Wireless Sensor Networks (7 papers), Optical Network Technologies (5 papers), Cryptographic Implementations and Security (5 papers), Complexity and Algorithms in Graphs (4 papers), Remote-Sensing Image Classification (4 papers) and Remote Sensing and Land Use (4 papers). The work is most often cited by research in Computer Networks and Communications (218 citations), Information Systems (139 citations), Artificial Intelligence (193 citations), Signal Processing (34 citations) and Computer Vision and Pattern Recognition (55 citations). Ming Luo has collaborated with scholars based in China, Australia and Taiwan. Frequent co-authors include Yi Luo, Ze Wang, Hong Zhao, Yingyou Wen, Christopher A. Leckie, Tao Peng, Jianfeng Xu, Aifeng Ren, Xiangjun Li and Jiayu Wu. Their work appears in journals such as Wireless Personal Communications, Chinese Optics Letters, Wireless Networks, Computer Communications and Applied Artificial Intelligence.

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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