Jin Pan

3.7k citations
93 papers · 3.1k indexed · 1 hit paper · h-index 26

Impact in

Papers in

Jin Pan

90 papers receiving 3.0k citations

Hit Papers

Biomass-derived porous carbon materials with sulfur and nitrogen dual-doping for energy storage 2014 · 601 citations
6012014202620182022200400600

Peers

Jin Pan
Comparison fields: 5 of 150
  • Electronic, Optical and Magnetic Materials 1.2k
  • Polymers and Plastics 431
  • Electrical and Electronic Engineering 1.7k
  • Process Chemistry and Technology 84
  • Automotive Engineering 306
Replace Meng Yao with:
Meng Yao China
Ya Chen China
Young Sun Mok South Korea
Shuping Li China
Mattia Bartoli Italy
Feifei Wang China
Peng Gu China
Wenhui Zhang China
Zhen Li China
Jin Pan relative to Meng Yao China Meng Yao's profile →
Citations per field
00.5×1.5×2.2×
Meng Yao · 1×
Citations per year

Countries citing papers authored by Jin Pan

Since Specialization
Citations

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

Fields of papers citing papers by Jin Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20251
3 20241
4 202319
5 202318
6 20232
7 20224
8 20226
9 20227
10 20201
11 201917
12 201811
13 201719
14 201711
15
Study on screening of phosphate-accumulating organisms and analysis of phosphorus removal characteristics
20161
16 201627
17 201531
18
Research on efficient authentication mechanism in MIPv6 fast hierarchical handoff
20122
19 201039
20 199470

About Jin Pan

Jin Pan is a scholar working on Bioengineering, Process Chemistry and Technology, Automotive Engineering, Medical Laboratory Technology and Rheumatology, having authored 93 papers that have together received 3.1k indexed citations. Recurring topics across this work include Advancements in Battery Materials (14 papers), Advanced Battery Materials and Technologies (13 papers), Supercapacitor Materials and Fabrication (8 papers), Advanced Battery Technologies Research (7 papers), Bone Metabolism and Diseases (5 papers), Organometallic Complex Synthesis and Catalysis (5 papers), Analytical Chemistry and Sensors (4 papers) and Osteoarthritis Treatment and Mechanisms (4 papers). The work is most often cited by research in Electronic, Optical and Magnetic Materials (1.2k citations), Polymers and Plastics (431 citations), Electrical and Electronic Engineering (1.7k citations), Process Chemistry and Technology (84 citations) and Automotive Engineering (306 citations). Jin Pan has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Guiyin Xu, Bing Ding, Hui Dou, Xiaogang Zhang, Jinpeng Han, Ping Nie, Hongsen Li, Douglas R. MacFarlane, Qingwei Yang and Laifa Shen. Their work appears in journals such as Journal of Materials Chemistry A, Journal of Power Sources, PLoS ONE, Frontiers in Bioengineering and Biotechnology and RSC Advances.

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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