Jiefeng Chen

479 total citations · 1 hit paper
7 papers, 351 citations indexed

About

Jiefeng Chen is a scholar working on Biomedical Engineering, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Jiefeng Chen has authored 7 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Biomedical Engineering, 4 papers in Mechanical Engineering and 1 paper in Mechanics of Materials. Recurrent topics in Jiefeng Chen's work include Thermochemical Biomass Conversion Processes (5 papers), Catalysis and Hydrodesulfurization Studies (3 papers) and Subcritical and Supercritical Water Processes (2 papers). Jiefeng Chen is often cited by papers focused on Thermochemical Biomass Conversion Processes (5 papers), Catalysis and Hydrodesulfurization Studies (3 papers) and Subcritical and Supercritical Water Processes (2 papers). Jiefeng Chen collaborates with scholars based in China, Russia and Australia. Jiefeng Chen's co-authors include Hailong Li, Weijin Zhang, Hao Zhan, Haoyi Peng, Zequn Yang, Lijian Leng, Lijian Leng, Chao He, Donghai Xu and Qingyue Chen and has published in prestigious journals such as The Science of The Total Environment, Bioresource Technology and Energy.

In The Last Decade

Jiefeng Chen

7 papers receiving 345 citations

Hit Papers

A complete review on the oxygen-containing functional gro... 2024 2026 2025 2024 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiefeng Chen China 7 165 89 52 50 47 7 351
Lijian Leng China 9 152 0.9× 86 1.0× 74 1.4× 69 1.4× 45 1.0× 17 375
Temitayo E Oladimeji Nigeria 9 110 0.7× 50 0.6× 65 1.3× 36 0.7× 36 0.8× 29 368
Jiaying Cui China 9 134 0.8× 170 1.9× 43 0.8× 113 2.3× 56 1.2× 9 345
Apip Amrullah Indonesia 13 380 2.3× 102 1.1× 33 0.6× 65 1.3× 36 0.8× 56 568
Libor Štěpanec Czechia 6 194 1.2× 73 0.8× 73 1.4× 65 1.3× 64 1.4× 10 418
Lara Carvalho Sweden 6 269 1.6× 85 1.0× 54 1.0× 53 1.1× 77 1.6× 12 452
Peisheng Li China 8 217 1.3× 81 0.9× 48 0.9× 48 1.0× 44 0.9× 13 421
Ana Katerine de Carvalho Lima Lobato Brazil 10 107 0.6× 65 0.7× 83 1.6× 38 0.8× 58 1.2× 34 399
María González Martínez France 10 237 1.4× 43 0.5× 56 1.1× 27 0.5× 26 0.6× 21 377
Hossein Jahromi United States 13 312 1.9× 198 2.2× 22 0.4× 60 1.2× 61 1.3× 20 475

Countries citing papers authored by Jiefeng Chen

Since Specialization
Citations

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

Fields of papers citing papers by Jiefeng Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiefeng Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Jiefeng Chen. A scholar is included among the top collaborators of Jiefeng Chen 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 Jiefeng Chen. Jiefeng Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Chen, Jiefeng, Weijin Zhang, Tong Yin, et al.. (2025). Machine-learning-aided life cycle assessment and techno-economic analysis of hydrothermal liquefaction of sewage sludge for bio-oil production. Energy. 319. 135026–135026. 8 indexed citations
2.
Zhang, Weijin, Qingyue Chen, Jiefeng Chen, et al.. (2024). Automated machine learning-aided prediction and interpretation of gaseous by-products from the hydrothermal liquefaction of biomass. The Science of The Total Environment. 945. 173939–173939. 8 indexed citations
3.
Chen, Jiefeng, Weitao Zheng, Songqi Leng, et al.. (2024). A complete review on the oxygen-containing functional groups of biochar: Formation mechanisms, detection methods, engineering, and applications. The Science of The Total Environment. 946. 174081–174081. 75 indexed citations breakdown →
4.
Leng, Lijian, Weijin Zhang, Jiefeng Chen, et al.. (2023). Machine-learning-aided hydrochar production through hydrothermal carbonization of biomass by engineering operating parameters and/or biomass mixture recipes. Energy. 288. 129854–129854. 18 indexed citations
5.
Li, Hailong, Jiefeng Chen, Weijin Zhang, et al.. (2023). Machine-learning-aided thermochemical treatment of biomass: a review. Biofuel Research Journal. 10(1). 1786–1809. 110 indexed citations
6.
Rizwan, Muhammad, Ghulam Murtaza, Faisal Zulfiqar, et al.. (2023). Sustainable manufacture and application of biochar to improve soil properties and remediate soil contaminated with organic impurities: a systematic review. Frontiers in Environmental Science. 11. 28 indexed citations
7.
Zhang, Weijin, Qingyue Chen, Jiefeng Chen, et al.. (2022). Machine learning for hydrothermal treatment of biomass: A review. Bioresource Technology. 370. 128547–128547. 104 indexed citations

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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