Chao Jin

5.4k total citations · 2 hit papers
136 papers, 4.2k citations indexed

About

Chao Jin is a scholar working on Fluid Flow and Transfer Processes, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Chao Jin has authored 136 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Fluid Flow and Transfer Processes, 34 papers in Molecular Biology and 34 papers in Biomedical Engineering. Recurrent topics in Chao Jin's work include Advanced Combustion Engine Technologies (37 papers), Biodiesel Production and Applications (30 papers) and Plant Stress Responses and Tolerance (22 papers). Chao Jin is often cited by papers focused on Advanced Combustion Engine Technologies (37 papers), Biodiesel Production and Applications (30 papers) and Plant Stress Responses and Tolerance (22 papers). Chao Jin collaborates with scholars based in China, Hong Kong and United States. Chao Jin's co-authors include Haifeng Liu, Jing Ji, Mingfa Yao, Chia-fon F. Lee, Chunfeng Guan, Jeffrey Dankwa Ampah, Sandylove Afrane, Abdulfatah Abdu Yusuf, Zhenlong Geng and Gang Wang and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Chao Jin

129 papers receiving 4.0k citations

Hit Papers

Progress in the production and application of n-butanol a... 2011 2026 2016 2021 2011 2021 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chao Jin China 34 1.4k 1.3k 724 699 551 136 4.2k
Kôichi Yamada Japan 35 678 0.5× 576 0.5× 217 0.3× 1.0k 1.4× 1.2k 2.2× 323 4.7k
Yaodong Wang United Kingdom 40 1.6k 1.1× 1.2k 0.9× 205 0.3× 96 0.1× 587 1.1× 242 5.6k
Wen Tong Chong Malaysia 56 3.4k 2.4× 1.1k 0.9× 191 0.3× 880 1.3× 679 1.2× 202 9.6k
Fitranto Kusumo Malaysia 33 2.6k 1.8× 655 0.5× 108 0.1× 615 0.9× 287 0.5× 52 3.7k
Barat Ghobadian Iran 63 6.5k 4.5× 3.5k 2.8× 662 0.9× 684 1.0× 1.5k 2.7× 306 12.8k
Adnan Mi̇di̇lli̇ Türkiye 38 983 0.7× 218 0.2× 752 1.0× 55 0.1× 943 1.7× 87 6.7k
Martin Kaltschmitt Germany 41 2.2k 1.5× 113 0.1× 174 0.2× 341 0.5× 1.3k 2.3× 225 6.8k
Abbas Rohani Iran 33 417 0.3× 152 0.1× 685 0.9× 115 0.2× 202 0.4× 150 3.1k
Mariano Martı́n Spain 41 1.9k 1.3× 100 0.1× 64 0.1× 609 0.9× 606 1.1× 212 5.5k
Saiful Islam Saudi Arabia 30 481 0.3× 72 0.1× 219 0.3× 202 0.3× 356 0.6× 246 3.5k

Countries citing papers authored by Chao Jin

Since Specialization
Citations

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

Fields of papers citing papers by Chao Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chao Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Chao Jin. A scholar is included among the top collaborators of Chao Jin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chao Jin. Chao Jin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ampah, Jeffrey Dankwa, Chao Jin, Haifeng Liu, et al.. (2025). Scaling carbon removal without delaying emission reductions. 1(9). 599–601.
3.
Huang, Zhixiong, Haifeng Liu, Zunqing Zheng, et al.. (2024). Conventional and unconventional gas emissions and particle matter emissions of methanol CI engine with different EHN addition and compression ratios. Journal of the Energy Institute. 118. 101924–101924. 3 indexed citations
4.
Wang, Can, Zhao Zhang, Haifeng Liu, et al.. (2024). Effects of operating parameters on start performance of compression ignition engine by using high-pressure direct-injection pure methanol fuel. Applied Thermal Engineering. 249. 123352–123352. 13 indexed citations
5.
Wang, Can, Zhixiong Huang, Wenjie Wang, et al.. (2024). The combustion and emission characteristics of pure methanol as a substitute fuel for compression ignition engines. International Journal of Green Energy. 21(14). 3313–3329. 6 indexed citations
6.
Ampah, Jeffrey Dankwa, Chao Jin, Haifeng Liu, et al.. (2024). Prioritizing Non-Carbon Dioxide Removal Mitigation Strategies Could Reduce the Negative Impacts Associated with Large-Scale Reliance on Negative Emissions. Environmental Science & Technology. 58(8). 3755–3765. 29 indexed citations
7.
Rana, Sohel, Chao Jin, Zhen Liu, et al.. (2023). An investigation of the growth status of 19-year-old Idesia polycarpa ‘Yuji’ plantation forest in the mountainous region of Henan, China. Heliyon. 9(9). e19716–e19716. 1 indexed citations
8.
Ampah, Jeffrey Dankwa, et al.. (2023). Potential benefits and trade-offs associated with hydrogen transition under diverse carbon dioxide removal strategies. Science Bulletin. 69(1). 34–39. 12 indexed citations
9.
Ming, Zhenyang, et al.. (2023). Optical characterization of ethanol spray flame on a constant volume combustion chamber. Fuel Processing Technology. 250. 107928–107928. 16 indexed citations
10.
Chen, Xirong, et al.. (2023). Work-Related Factors Associated With the Pelvic Floor Dysfunction Among a Sample of Female Nurses in China. Workplace Health & Safety. 71(6). 282–295. 1 indexed citations
11.
Jin, Chao, Xiaodan Li, Zhenlong Geng, et al.. (2023). Zero-Carbon and Carbon-Neutral Fuels: A Review of Combustion Products and Cytotoxicity. Energies. 16(18). 6507–6507. 8 indexed citations
12.
Wang, Can, et al.. (2023). Experimental and kinetic modeling studies on oxidation of methanol and di-tert-butyl peroxide in a jet-stirred reactor. Combustion and Flame. 258. 113093–113093. 9 indexed citations
13.
Wang, Can, et al.. (2023). Study on the mechanism of influence of cetane improver on methanol ignition. Fuel. 354. 129383–129383. 9 indexed citations
14.
Zhu, Yifan, Zijian Wang, Ting Li, et al.. (2023). Identification of Differential Circular RNA Expression Profiles and Functional Networks in Human Macrophages Induced by Virulent and Avirulent Mycobacterium tuberculosis Strains. International Journal of Molecular Sciences. 24(24). 17561–17561. 4 indexed citations
15.
Ampah, Jeffrey Dankwa, Abdulfatah Abdu Yusuf, Ephraim Bonah Agyekum, et al.. (2022). Progress and Recent Trends in the Application of Nanoparticles as Low Carbon Fuel Additives—A State of the Art Review. Nanomaterials. 12(9). 1515–1515. 38 indexed citations
17.
Ampah, Jeffrey Dankwa, Abdulfatah Abdu Yusuf, Sandylove Afrane, Chao Jin, & Haifeng Liu. (2021). Reviewing two decades of cleaner alternative marine fuels: Towards IMO's decarbonization of the maritime transport sector. Journal of Cleaner Production. 320. 128871–128871. 257 indexed citations breakdown →
18.
Afrane, Sandylove, et al.. (2021). Techno-economic feasibility of waste-to-energy technologies for investment in Ghana: A multicriteria assessment based on fuzzy TOPSIS approach. Journal of Cleaner Production. 318. 128515–128515. 57 indexed citations
19.
20.
Wang, Gang, et al.. (2013). Cloning and expression analysis of LmP5CS gene from Lycium chinense Miller. Zhongguo shengwu gongcheng zazhi. 33(1). 33–40.

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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