Lang Li

883 citations
20 papers · 723 · h-index 13

Impact in

Papers in

Lang Li

20 papers receiving 720 citations

Peers

Lang Li
Comparison fields: 5 of 57
  • Electrochemistry 154
  • Renewable Energy, Sustainability and the Environment 364
  • Materials Chemistry 257
  • Electrical and Electronic Engineering 283
  • Catalysis 34
Replace Shin-ya Kishioka with:
Shin-ya Kishioka Japan
Manuel Antuch Cuba
Jinyan Zhao China
Mingxuan Li China
Lotf Ali Saghatforoush Iran
Yongqiang Dang China
Jihua Zhao China
Abhishek Kumar France
Xin Deng China
Vladislava M. Jovanović Serbia
Lang Li relative to Shin-ya Kishioka Japan Shin-ya Kishioka's profile →
Citations per field
00.5×10×13×
Shin-ya Kishioka · 1×
Citations per year

Countries citing papers authored by Lang Li

Since Specialization
Citations

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

Fields of papers citing papers by Lang Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2019236
2 2021100
3 201772
4 202248
5 200340
6 201434
7 200032
8 202227
9 201824
10 200419
11 202216
12 200314
13 202012
14 201712
15 202412
16 20189
17 20257
18 20237
19 20251
20 20161

About Lang Li

Lang Li is a scholar working on Materials Chemistry, Renewable Energy, Sustainability and the Environment, Organic Chemistry, Electrical and Electronic Engineering and Electrochemistry, having authored 20 papers that have together received 723 indexed citations. Recurring topics across this work include Electrocatalysts for Energy Conversion (5 papers), Electrochemical Analysis and Applications (5 papers), Metal-Organic Frameworks: Synthesis and Applications (3 papers), TiO2 Photocatalysis and Solar Cells (3 papers), Spectroscopy and Quantum Chemical Studies (3 papers), Advanced Photocatalysis Techniques (2 papers), Advanced Polymer Synthesis and Characterization (2 papers) and Advanced Memory and Neural Computing (2 papers). The work is most often cited by research in Electrochemistry (154 citations), Renewable Energy, Sustainability and the Environment (364 citations), Materials Chemistry (257 citations), Electrical and Electronic Engineering (283 citations) and Catalysis (34 citations). Lang Li has collaborated with scholars based in China, Australia and Germany. Frequent co-authors include Jiabo Le, Changchun Wang, Jun Cheng, Min Su, Petar M. Radjenovic, Xiao‐Shun Zhou, Jian‐Feng Li, Jin‐Chao Dong, Zhong‐Qun Tian and Juan M. Feliú. Their work appears in journals such as Materials Chemistry and Physics, Journal of the American Chemical Society, Journal of Chromatography A, Electrochimica Acta and ACS Omega.

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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