Chunli Li

145 papers receiving 2.8k citations

Chunli Li's Hit Papers

AI-based processing of future prepared foods: Progress and prospects 2025 · 20 citations
200+1+2Years since publication4080120

Peers

Chunli Li
Comparison fields: 5 of 129
  • Catalysis 365
  • Filtration and Separation 67
  • Biomedical Engineering 1.1k
  • Water Science and Technology 296
  • Materials Chemistry 734
Replace Thaddeus Chukwuemeka Ezeji with:
Thaddeus Chukwuemeka Ezeji United States
Hong Chen China
Morteza Asghari Iran
José M. Navaza Spain
Stephan Scholl Germany
Diego Gómez‐Díaz Spain
Georgios D. Stefanidis Belgium
J. Sánchez France
Lu‐Kwang Ju United States
Rui Zhang China
Chunli Li relative to Thaddeus Chukwuemeka Ezeji United States Thaddeus Chukwuemeka Ezeji's profile →
Citations per field
00.5×
Thaddeus Chukwuemeka Ezeji · 1×
Citations per year

Countries citing papers authored by Chunli Li

Since Specialization
Citations

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

Fields of papers citing papers by Chunli Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 152 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022176
2 2019155
3
Vertically Aligned Bismuthene Nanosheets on MXene for High-Performance Capacitive Deionization
Hit paper breakdown →
2023145
4 2016135
5 201984
6 202465
7 201965
8 201965
9 201657
10 201656
11 200553
12 201852
13 201146
14 202245
15 202040
16 202239
17 201039
18 202438
19 202238
20 201638

About Chunli Li

Chunli Li is a scholar working on Biomedical Engineering, Mechanical Engineering, Materials Chemistry, Control and Systems Engineering and Catalysis, having authored 152 papers that have together received 2.8k indexed citations. Recurring topics across this work include Process Optimization and Integration (27 papers), Advanced Control Systems Optimization (20 papers), Lignin and Wood Chemistry (16 papers), Catalysis for Biomass Conversion (11 papers), Extraction and Separation Processes (11 papers), Chemical and Physical Properties in Aqueous Solutions (10 papers), Phase Equilibria and Thermodynamics (10 papers) and Crystallization and Solubility Studies (9 papers). The work is most often cited by research in Catalysis (365 citations), Filtration and Separation (67 citations), Biomedical Engineering (1.1k citations), Water Science and Technology (296 citations) and Materials Chemistry (734 citations). Chunli Li has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Jing Fang, Hao Li, Hao Li, Min Zhang, Honghai Wang, Jiapeng Liu, Wenchao Peng, Zhensheng Yang, Xiaolin Ding and Tong Li. Their work appears in journals such as Separation and Purification Technology, Industrial & Engineering Chemistry Research, Journal of Chemical & Engineering Data, International Journal of Biological Macromolecules and Journal of Colloid and Interface Science.

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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