Ming Ma

775 citations
52 papers · 543 · h-index 11

Impact in

    • Spam and Phishing Detection
    • Web Data Mining and Analysis
    • Sentiment Analysis and Opinion Mining
    • Advanced Text Analysis Techniques
    • Text and Document Classification Technologies

Papers in

Ming Ma

42 papers receiving 512 citations

Peers

Ming Ma
Comparison fields: 5 of 66
  • Information Systems 187
  • Artificial Intelligence 197
  • Polymers and Plastics 66
  • Mechanics of Materials 114
  • Signal Processing 44
Replace Mengyao Sun with:
Mengyao Sun China
Xiaohui Han China
Spencer Smith Canada
Shiyu Wang China
Wenhua Yang China
Yunpeng Ding China
Erdong Chen China
Dhruv Kumar India
Lingfeng Liu China
Joan Vivancos Calvet Spain
Ming Ma relative to Mengyao Sun China Mengyao Sun's profile →
Citations per field
00.5×2×3×3.8×
Mengyao Sun · 1×
Citations per year

Countries citing papers authored by Ming Ma

Since Specialization
Citations

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

Fields of papers citing papers by Ming Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011112
2 200767
3
A Quantitative Study of Forum Spamming Using Context-based Analysis.
200761
4 201438
5 201936
6 202132
7 202429
8 202025
9 202322
10
Detecting Stealth Web Pages That Use Click-Through Cloaking
200615
11 201815
12 20168
13 20078
14 20095
15 20125
16 20165
17 20165
18 20215
19 20174
20
Recent Theoretical Researches on Transportation Safety Planning
20144

About Ming Ma

Ming Ma is a scholar working on Civil and Structural Engineering, Signal Processing, Mechanics of Materials, Polymers and Plastics and Mechanical Engineering, having authored 52 papers that have together received 543 indexed citations. Recurring topics across this work include Blind Source Separation Techniques (5 papers), Textile materials and evaluations (5 papers), Mechanical Behavior of Composites (5 papers), Spam and Phishing Detection (5 papers), Text and Document Classification Technologies (4 papers), Structural Load-Bearing Analysis (3 papers), Web Data Mining and Analysis (3 papers) and Structural Behavior of Reinforced Concrete (3 papers). The work is most often cited by research in Information Systems (187 citations), Artificial Intelligence (197 citations), Polymers and Plastics (66 citations), Mechanics of Materials (114 citations) and Signal Processing (44 citations). Ming Ma has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Yi‐Min Wang, Yuan Niu, Muhua Zhu, Huizhen Wang, Benjamin K. Tsou, Jingbo Zhu, Hao Chen, Li Chen, Qiwei Guo and Yusheng Liu. Their work appears in journals such as Thin-Walled Structures, IEEE Transactions on Affective Computing, Tribology International, Applied Sciences and Ships and Offshore Structures.

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.

Explore authors with similar magnitude of impact