Mingjun Bai

443 citations
14 papers · 369 · h-index 9

Impact in

Papers in

Mingjun Bai

13 papers receiving 366 citations

Peers

Mingjun Bai
Comparison fields: 5 of 44
  • Renewable Energy, Sustainability and the Environment 169
  • Electronic, Optical and Magnetic Materials 123
  • Materials Chemistry 192
  • Condensed Matter Physics 34
  • Electrical and Electronic Engineering 154
Replace Hisanori Mashiko with:
Hisanori Mashiko Japan
Fen Yao China
Bahram Khoshnevisan Iran
Zezhi Chen China
Jinling Jiang China
Lu Jiang China
Ke Liao China
P. Vlăzan Romania
Anum Malik China
Mingjun Bai relative to Hisanori Mashiko Japan Hisanori Mashiko's profile →
Citations per field
00.5×1.5×
Hisanori Mashiko · 1×
Citations per year

Countries citing papers authored by Mingjun Bai

Since Specialization
Citations

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

Fields of papers citing papers by Mingjun Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2020205
2 202043
3 202125
4 201920
5 202116
6 202413
7 201612
8 20179
9 20188
10 20235
11 20225
12 20234
13 20224
14 20240

About Mingjun Bai

Mingjun Bai is a scholar working on Materials Chemistry, Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials, Biomedical Engineering and Polymers and Plastics, having authored 14 papers that have together received 369 indexed citations. Recurring topics across this work include Perovskite Materials and Applications (4 papers), Luminescence Properties of Advanced Materials (3 papers), Layered Double Hydroxides Synthesis and Applications (3 papers), Conducting polymers and applications (2 papers), Supercapacitor Materials and Fabrication (2 papers), Advanced Photocatalysis Techniques (2 papers), MXene and MAX Phase Materials (2 papers) and Advanced Sensor and Energy Harvesting Materials (2 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (169 citations), Electronic, Optical and Magnetic Materials (123 citations), Materials Chemistry (192 citations), Condensed Matter Physics (34 citations) and Electrical and Electronic Engineering (154 citations). Mingjun Bai has collaborated with scholars based in China, Japan and Belarus. Frequent co-authors include Renzhi Ma, Takayoshi Sasaki, Dai‐Ming Tang, Hao Gong, Hairong Xue, Xueyi Lu, Xiaohe Liu, Xiaowen Liu, Huihui Zhang and Wei Li. Their work appears in journals such as Chemical Science, CrystEngComm, ACS Applied Polymer Materials, Journal of Materials Chemistry C and Nano-Micro Letters.

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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