Wei Ma

1.7k citations
58 papers · 1.1k · 1 hit paper · h-index 11

Impact in

Papers in

Wei Ma

43 papers receiving 1.0k citations

Wei Ma's Hit Papers

Self-assembled bilayer for perovskite solar cells with improved tolerance against thermal stresses 2025 · 117 citations
1170Years since publication255075100

Peers

Wei Ma
Comparison fields: 5 of 138
  • Cancer Research 236
  • Behavioral Neuroscience 45
  • Health Information Management 28
  • Molecular Biology 382
  • Polymers and Plastics 74
Replace Po‐Hao Chen with:
Po‐Hao Chen United States
Yuan Zhang China
Min-Kyung Lee South Korea
Yuanyuan Zheng China
Yu Geng China
Huiying Zhao China
James Martin United States
Wei Ma relative to Po‐Hao Chen United States Po‐Hao Chen's profile →
Citations per field
00.5×10×15×
Po‐Hao Chen · 1×
Citations per year

Countries citing papers authored by Wei Ma

Since Specialization
Citations

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

Fields of papers citing papers by Wei Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007403
2 2005190
3 1999142
4
Self-assembled bilayer for perovskite solar cells with improved tolerance against thermal stresses
Hit paper breakdown →
2025117
5 202426
6 201722
7 202417
8 202417
9 202417
10 202413
11 202411
12 202410
13 20157
14 20087
15 20246
16 20256
17 20106
18 20245
19 20245
20 20244

About Wei Ma

Wei Ma is a scholar working on Electrical and Electronic Engineering, Molecular Biology, Polymers and Plastics, Materials Chemistry and Computer Networks and Communications, having authored 58 papers that have together received 1.1k indexed citations. Recurring topics across this work include Organic Electronics and Photovoltaics (8 papers), Conducting polymers and applications (7 papers), Perovskite Materials and Applications (7 papers), Advanced biosensing and bioanalysis techniques (3 papers), Natural product bioactivities and synthesis (3 papers), Underwater Vehicles and Communication Systems (2 papers), Anomaly Detection Techniques and Applications (2 papers) and Vector-borne infectious diseases (2 papers). The work is most often cited by research in Cancer Research (236 citations), Behavioral Neuroscience (45 citations), Health Information Management (28 citations), Molecular Biology (382 citations) and Polymers and Plastics (74 citations). Wei Ma has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xiao Sun, H. Wu, Wenxue Wang, Zuhong Lu, Peng Jiang, Shihui Liu, Stuart J. Nelson, David R. Rubinow, Jeffery L. Barker and Qunping Fan. Their work appears in journals such as Advanced Functional Materials, Molecules, ACS Applied Materials & Interfaces, Kidney International Reports and FEMS Microbiology Ecology.

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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