He Bai

68 papers receiving 845 citations

Peers

He Bai
Comparison fields: 5 of 97
  • Water Science and Technology 168
  • Renewable Energy, Sustainability and the Environment 183
  • Polymers and Plastics 113
  • Materials Chemistry 335
  • Electronic, Optical and Magnetic Materials 131
Replace Navneet Kumar with:
Navneet Kumar India
Mohamed Salah Medjram Algeria
Khashayar Badii Iran
Yanhua Liu China
Jiao Wang China
Michael L. Curry United States
Amir Said China
Humayun Kabir Bangladesh
He Bai relative to Navneet Kumar India Navneet Kumar's profile →
Citations per field
00.5×2.6×
Navneet Kumar · 1×
Citations per year

Countries citing papers authored by He Bai

Since Specialization
Citations

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

Fields of papers citing papers by He Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199971
2 201960
3 200136
4 202434
5 201931
6 202430
7 202329
8 202029
9 202427
10 202427
11 199826
12 200325
13 202125
14 202123
15 202319
16 202019
17 202418
18 202317
19 202216
20 202316

About He Bai

He Bai is a scholar working on Materials Chemistry, Electrical and Electronic Engineering, Artificial Intelligence, Renewable Energy, Sustainability and the Environment and Electronic, Optical and Magnetic Materials, having authored 71 papers that have together received 858 indexed citations. Recurring topics across this work include Supercapacitor Materials and Fabrication (11 papers), Catalytic Processes in Materials Science (10 papers), Natural Language Processing Techniques (9 papers), Topic Modeling (9 papers), Advanced Photocatalysis Techniques (6 papers), Metal-Organic Frameworks: Synthesis and Applications (5 papers), Thermal and Kinetic Analysis (5 papers) and Adsorption and biosorption for pollutant removal (4 papers). The work is most often cited by research in Water Science and Technology (168 citations), Renewable Energy, Sustainability and the Environment (183 citations), Polymers and Plastics (113 citations), Materials Chemistry (335 citations) and Electronic, Optical and Magnetic Materials (131 citations). He Bai has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Xin‐Gui Li, Mei‐Rong Huang, Wei Xiong, Mei‐Rong Huang, Songshan Jiang, Hongyan Yue, Xin Gao, Jimmy Lin, Haopeng Zhang and Hai‐Tao Ren. Their work appears in journals such as Journal of Applied Polymer Science, Chemical Engineering Journal, Journal of Water Process Engineering, New Journal of Chemistry and Journal of Environmental Management.

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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