Haibo Ma

4.5k citations
129 papers · 3.2k indexed · h-index 31

Impact in

Papers in

Haibo Ma

123 papers receiving 3.2k citations

Peers

Haibo Ma
Comparison fields: 5 of 113
  • Polymers and Plastics 658
  • Renewable Energy, Sustainability and the Environment 615
  • Materials Chemistry 1.4k
  • Electrical and Electronic Engineering 1.5k
  • Computational Mathematics 14
Replace Tao Fang with:
Tao Fang China
Frank Ortmann Germany
Hong Jiang China
Kyung Hwan Kim South Korea
Yun Hee Jang South Korea
Reji Philip India
Lin Ma China
Adam P. Willard United States
Shengxiong Xiao China
Haibo Ma relative to Tao Fang China Tao Fang's profile →
Citations per field
00.5×4.7×
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Citations per year

Countries citing papers authored by Haibo Ma

Since Specialization
Citations

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

Fields of papers citing papers by Haibo Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
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12 202119
13 202138
14 202173
15 202023
16 201937
17 201970
18 201966
19 20160
20
Paleoenvironmental Implications of Shoreline Chronology of Qinghai Lake, northeast Qinghai-Tibet Plateau
20081

About Haibo Ma

Haibo Ma is a scholar working on Atomic and Molecular Physics, and Optics, Physical and Theoretical Chemistry, Acoustics and Ultrasonics, Polymers and Plastics and Inorganic Chemistry, having authored 129 papers that have together received 3.2k indexed citations. Recurring topics across this work include Spectroscopy and Quantum Chemical Studies (33 papers), Advanced Chemical Physics Studies (24 papers), Organic Electronics and Photovoltaics (21 papers), Perovskite Materials and Applications (19 papers), Conducting polymers and applications (12 papers), Quantum many-body systems (10 papers), Machine Learning in Materials Science (10 papers) and Photochemistry and Electron Transfer Studies (9 papers). The work is most often cited by research in Polymers and Plastics (658 citations), Renewable Energy, Sustainability and the Environment (615 citations), Materials Chemistry (1.4k citations), Electrical and Electronic Engineering (1.5k citations) and Computational Mathematics (14 citations). Haibo Ma has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Alessandro Troisi, Harikrishna Sahu, Jing Wen, Songqin Liu, Yuanjian Zhang, Xiaoyu Xie, Jing Ma, Yaping Wen, Yao Yao and Chungen Liu. Their work appears in journals such as The Journal of Chemical Physics, The Journal of Physical Chemistry Letters, Journal of Chemical Theory and Computation, The Journal of Physical Chemistry A and Nature Communications.

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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