Lang Li

838 citations
20 papers · 673 · h-index 13

Impact in

Papers in

Lang Li

19 papers receiving 669 citations

Peers

Lang Li
Comparison fields: 5 of 56
  • Electrochemistry 148
  • Renewable Energy, Sustainability and the Environment 337
  • Materials Chemistry 247
  • Electrical and Electronic Engineering 275
  • Catalysis 33
Replace Shin-ya Kishioka with:
Shin-ya Kishioka Japan
Jinyan Zhao China
Manuel Antuch France
Mingxuan Li China
Lotf Ali Saghatforoush Iran
Yongqiang Dang China
Abhishek Kumar France
Vladislava M. Jovanović Serbia
Jihua Zhao China
Yulin Hu China
Lang Li relative to Shin-ya Kishioka Japan Shin-ya Kishioka's profile →
Citations per field
00.5×4.1×
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 2019221
2 202182
3 201771
4 202245
5 200340
6 201434
7 200032
8 202226
9 201824
10 200419
11 202216
12 200314
13 201712
14 202012
15 20189
16 20237
17 20246
18 20252
19 20161
20 20250

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 673 indexed citations. Recurring topics across this work include Electrochemical Analysis and Applications (5 papers), Electrocatalysts for Energy Conversion (5 papers), TiO2 Photocatalysis and Solar Cells (3 papers), Spectroscopy and Quantum Chemical Studies (3 papers), Metal-Organic Frameworks: Synthesis and Applications (3 papers), Analytical Chemistry and Chromatography (2 papers), Machine Learning in Materials Science (2 papers) and Fullerene Chemistry and Applications (2 papers). The work is most often cited by research in Electrochemistry (148 citations), Renewable Energy, Sustainability and the Environment (337 citations), Materials Chemistry (247 citations), Electrical and Electronic Engineering (275 citations) and Catalysis (33 citations). Lang Li has collaborated with scholars based in China, Australia and Germany. Frequent co-authors include Jiabo Le, Changchun Wang, Juan M. Feliú, Xiao‐Shun Zhou, Zhong‐Qun Tian, Jian‐Feng Li, Min Su, Petar M. Radjenovic, Valentín Briega‐Martos and Jin‐Chao Dong. Their work appears in journals such as Journal of the American Chemical Society, Materials Chemistry and Physics, Journal of Chromatography A, Macromolecules 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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