Jinjun Bai

839 citations
60 papers · 663 · h-index 15

Impact in

Papers in

Jinjun Bai

54 papers receiving 624 citations

Peers

Jinjun Bai
Comparison fields: 5 of 63
  • Fuel Technology 16
  • Electronic, Optical and Magnetic Materials 219
  • Acoustics and Ultrasonics 6
  • Aerospace Engineering 150
  • Biomedical Engineering 208
Replace Subrata Pradhan with:
Subrata Pradhan India
Chen Gu China
Д. В. Матвеев Russia
Zhanguo Zong Japan
Yilin Chen China
Yuanfei Gao China
T. García‐Fernández Mexico
Qijun Ren China
Liangliang Du China
А. В. Гончаренко Ukraine
Jinjun Bai relative to Subrata Pradhan India Subrata Pradhan's profile →
Citations per field
00.5×1.5×2×2.4×
Subrata Pradhan · 1×
Citations per year

Countries citing papers authored by Jinjun Bai

Since Specialization
Citations

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

Fields of papers citing papers by Jinjun Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201980
2 199677
3 201344
4 202229
5 202127
6 201424
7 201623
8 201123
9 202122
10 202121
11 202421
12 201819
13 202316
14 201715
15 201015
16 202313
17 201413
18 202211
19 202111
20 199911

About Jinjun Bai

Jinjun Bai is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Atomic and Molecular Physics, and Optics, Electronic, Optical and Magnetic Materials and Materials Chemistry, having authored 60 papers that have together received 663 indexed citations. Recurring topics across this work include Terahertz technology and applications (15 papers), Photonic and Optical Devices (14 papers), Metamaterials and Metasurfaces Applications (13 papers), Plasmonic and Surface Plasmon Research (11 papers), Catalysis and Hydrodesulfurization Studies (9 papers), Thermochemical Biomass Conversion Processes (8 papers), Catalytic Processes in Materials Science (8 papers) and Advanced Fiber Optic Sensors (7 papers). The work is most often cited by research in Fuel Technology (16 citations), Electronic, Optical and Magnetic Materials (219 citations), Acoustics and Ultrasonics (6 citations), Aerospace Engineering (150 citations) and Biomedical Engineering (208 citations). Jinjun Bai has collaborated with scholars based in China, Australia and Spain. Frequent co-authors include Shengjiang Chang, S. Arsène, Fei Fan, Xiaodong Sun, Xianghui Wang, Shusheng Zhang, Guang‐Hui Liu, Yong Gao, Shasha Wang and Yu-Hong Kang. Their work appears in journals such as Optics Communications, Journal of Analytical and Applied Pyrolysis, Fuel, Optik and Journal of the Energy Institute.

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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