Changhe Li

25.7k citations
424 papers · 19.5k · 27 hit papers · h-index 79

Impact in

Papers in

Changhe Li

402 papers receiving 19.1k citations

Changhe Li's Hit Papers

Nanofluids application in machining: a comprehensive review 2023 · 110 citations
1100+1+3Years since publication50100150200

Peers

Changhe Li
Comparison fields: 5 of 173
  • Mechanical Engineering 12.0k
  • Biomedical Engineering 7.2k
  • Industrial and Manufacturing Engineering 1.0k
  • Mechanics of Materials 2.4k
  • Electrical and Electronic Engineering 5.5k
Replace Munish Kumar Gupta with:
Munish Kumar Gupta India
Shubham Sharma India
Jian Cao United States
Zafar Said United Arab Emirates
Jun Ni United States
Chander Prakash India
Sung‐Hoon Ahn South Korea
Hafız Muhammad Ali Saudi Arabia
Catalin I. Pruncu United Kingdom
K. Kadirgama Malaysia
Changhe Li relative to Munish Kumar Gupta India Munish Kumar Gupta's profile →
Citations per field
00.5×8.3×
Munish Kumar Gupta · 1×
Citations per year

Countries citing papers authored by Changhe Li

Since Specialization
Citations

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

Fields of papers citing papers by Changhe Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 424 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Maximum undeformed equivalent chip thickness for ductile-brittle transition of zirconia ceramics under different lubrication conditions
Hit paper breakdown →
2017393
2
Experimental evaluation of the lubrication performance of MoS2/CNT nanofluid for minimal quantity lubrication in Ni-based alloy grinding
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2015390
3
Experimental evaluation of MoS2 nanoparticles in jet MQL grinding with different types of vegetable oil as base oil
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2014373
4
Dispersing mechanism and tribological performance of vegetable oil-based CNT nanofluids with different surfactants
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2018365
5
Analysis of grinding mechanics and improved predictive force model based on material-removal and plastic-stacking mechanisms
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2017344
6
Experimental evaluation of the lubrication performance of mixtures of castor oil with other vegetable oils in MQL grinding of nickel-based alloy
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2016338
7
A Self-Learning Particle Swarm Optimizer for Global Optimization Problems
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2011326
8
Diversity enhanced particle swarm optimization with neighborhood search
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2012314
9
Predictive model for minimum chip thickness and size effect in single diamond grain grinding of zirconia ceramics under different lubricating conditions
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2019308
10 2016297
11
Experimental assessment of an environmentally friendly grinding process using nanofluid minimum quantity lubrication with cryogenic air
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2018294
12 2016289
13 2015278
14 2017278
15 2010267
16
Vegetable oil-based nanofluid minimum quantity lubrication turning: Academic review and perspectives
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2020245
17
Recent Advances in Machine Learning Research for Nanofluid-Based Heat Transfer in Renewable Energy System
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2022244
18 2021241
19
Cryogenic minimum quantity lubrication machining: from mechanism to application
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2021228
20 2016227

About Changhe Li

Changhe Li is a scholar working on Mechanical Engineering, Biomedical Engineering, Electrical and Electronic Engineering, Mechanics of Materials and Industrial and Manufacturing Engineering, having authored 424 papers that have together received 19.5k indexed citations. Recurring topics across this work include Advanced machining processes and optimization (229 papers), Advanced Surface Polishing Techniques (147 papers), Advanced Machining and Optimization Techniques (95 papers), Lubricants and Their Additives (40 papers), Tribology and Lubrication Engineering (26 papers), Metaheuristic Optimization Algorithms Research (22 papers), Tribology and Wear Analysis (20 papers) and Erosion and Abrasive Machining (19 papers). The work is most often cited by research in Mechanical Engineering (12.0k citations), Biomedical Engineering (7.2k citations), Industrial and Manufacturing Engineering (1.0k citations), Mechanics of Materials (2.4k citations) and Electrical and Electronic Engineering (5.5k citations). Changhe Li has collaborated with scholars based in China, India and United States. Frequent co-authors include Yanbin Zhang, Min Yang, Dongzhou Jia, Zafar Said, Runze Li, Shubham Sharma, Shengxiang Yang, Teng Gao, Yali Hou and Hafız Muhammad Ali. Their work appears in journals such as The International Journal of Advanced Manufacturing Technology, Frontiers of Mechanical Engineering, Journal of Materials Research and Technology, Chinese Journal of Mechanical Engineering and Journal of Manufacturing Processes.

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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