Jiefeng Chen

2.0k total citations
46 papers, 1.4k citations indexed

About

Jiefeng Chen is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Jiefeng Chen has authored 46 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 10 papers in Electrical and Electronic Engineering and 10 papers in Biomedical Engineering. Recurrent topics in Jiefeng Chen's work include Adversarial Robustness in Machine Learning (10 papers), Anomaly Detection Techniques and Applications (8 papers) and Mercury impact and mitigation studies (8 papers). Jiefeng Chen is often cited by papers focused on Adversarial Robustness in Machine Learning (10 papers), Anomaly Detection Techniques and Applications (8 papers) and Mercury impact and mitigation studies (8 papers). Jiefeng Chen collaborates with scholars based in China, United States and Macao. Jiefeng Chen's co-authors include Lijian Leng, Wenguang Zhou, Songqi Leng, Hailong Li, Haoyi Peng, Huajun Huang, Yingchao Hu, Xingfang Hu, Zhongchun Wang and Lihong Yang and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and Environmental Science & Technology.

In The Last Decade

Jiefeng Chen

43 papers receiving 1.4k citations

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 18 612 266 225 210 208 46 1.4k
Jianfen Li China 24 930 1.5× 455 1.7× 179 0.8× 419 2.0× 166 0.8× 100 2.0k
Ying Tang China 23 479 0.8× 297 1.1× 117 0.5× 350 1.7× 329 1.6× 120 1.6k
Kin Wai Cheah Malaysia 21 845 1.4× 459 1.7× 129 0.6× 268 1.3× 98 0.5× 38 1.4k
Chung Loong Yiin Malaysia 29 920 1.5× 462 1.7× 169 0.8× 349 1.7× 141 0.7× 61 1.9k
Weijiang Zhang China 24 393 0.6× 436 1.6× 107 0.5× 371 1.8× 192 0.9× 91 1.9k
Yalin Li China 22 535 0.9× 378 1.4× 234 1.0× 264 1.3× 143 0.7× 81 1.6k
Congyu Zhang China 18 792 1.3× 221 0.8× 129 0.6× 140 0.7× 53 0.3× 69 1.3k
Serene Sow Mun Lock Malaysia 23 579 0.9× 599 2.3× 98 0.4× 312 1.5× 185 0.9× 83 1.6k
Ye Xiao China 24 330 0.5× 191 0.7× 386 1.7× 287 1.4× 297 1.4× 65 1.5k
Shujuan Wang China 25 445 0.7× 462 1.7× 104 0.5× 269 1.3× 198 1.0× 94 1.8k

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

20 of 20 papers shown
1.
Zhang, Mingguang, Jianping Yang, Lijian Leng, et al.. (2025). Mechanistic insights into mercury removal by FeCl3-modified ZnS: Role of oxidation and sulfur activation. Chemical Engineering Journal. 515. 163054–163054.
2.
Zhang, Weijin, Jiefeng Chen, Hongxiao Zu, et al.. (2025). Machine Learning-Assisted Prediction and Exploration of the Homogeneous Oxidation of Mercury in Coal Combustion Flue Gas. Environmental Science & Technology. 59(22). 11073–11082. 2 indexed citations
3.
Zhang, Mingguang, Jianping Yang, Lijian Leng, et al.. (2025). Mechanistic insights into HgCl2 adsorption over zinc sulfide: The role of inherent sulfur and newly-formed zinc chloride. Journal of environmental chemical engineering. 13(3). 117158–117158.
4.
Zheng, Wei Xing, Qi Sun, Wanliang Yang, et al.. (2024). Advances in single-atom catalysts/sorbents for elemental mercury removal from flue gas. Separation and Purification Technology. 354. 129298–129298. 4 indexed citations
5.
Zheng, Wei Xing, Wanliang Yang, Jiefeng Chen, et al.. (2024). H2S induced in-situ formation of recyclable metal sulfide-based sorbent for elemental mercury sequestration in natural gas. Chemical Engineering Journal. 497. 154699–154699. 4 indexed citations
6.
Zheng, Wei Xing, Jianwei Huang, Zhiqi Tian, et al.. (2024). Metal sulfide functionalized activated carbon for efficient capture of gaseous iodine. Chemical Engineering Science. 303. 120955–120955. 8 indexed citations
7.
Chen, Jiefeng, Jinsung Yoon, Sayna Ebrahimi, et al.. (2023). Adaptation with Self-Evaluation to Improve Selective Prediction in LLMs. 5190–5213. 8 indexed citations
8.
Liu, Yuyu, Jiefeng Chen, Zhen Shao, et al.. (2023). Ambipolar Organic Field Effect Transistor Memory Based on H-Type Fluorene-Based Small Molecule. Acta Chimica Sinica. 81(11). 1508–1508.
9.
Leng, Songqi, Tonggui Liu, Wei Pan, et al.. (2022). Co-liquefaction of Chlorella and soybean straw for production of bio-crude: Effects of reusing aqueous phase as the reaction medium. The Science of The Total Environment. 820. 153348–153348. 32 indexed citations
10.
Leng, Lijian, Wenting Li, Jie Chen, et al.. (2021). Co-culture of fungi-microalgae consortium for wastewater treatment: A review. Bioresource Technology. 330. 125008–125008. 129 indexed citations
11.
Chen, Jiefeng, Yixuan Li, Xi Wu, Yingyu Liang, & Somesh Jha. (2020). Robust Out-of-distribution Detection via Informative Outlier Mining.. arXiv (Cornell University). 3 indexed citations
12.
Chen, Jiefeng, et al.. (2020). Query-Efficient Physical Hard-Label Attacks on Deep Learning Visual Classification.. arXiv (Cornell University). 5 indexed citations
13.
Chalasani, Prasad, Jiefeng Chen, Amrita Roy Chowdhury, Xi Wu, & Somesh Jha. (2020). Concise Explanations of Neural Networks using Adversarial Training. International Conference on Machine Learning. 1. 1383–1391. 9 indexed citations
14.
Leng, Songqi, et al.. (2020). The effect of aqueous phase recirculation on hydrothermal liquefaction/carbonization of biomass: A review. Bioresource Technology. 318. 124081–124081. 84 indexed citations
15.
Chen, Jiefeng, Xi Wu, Vaibhav Rastogi, Yingyu Liang, & Somesh Jha. (2019). Robust Attribution Regularization. Neural Information Processing Systems. 32. 14300–14310. 2 indexed citations
16.
Chen, Jiefeng, Xi Wu, Yingyu Liang, & Somesh Jha. (2018). Improving Adversarial Robustness by Data-Specific Discretization.. arXiv (Cornell University). 4 indexed citations
17.
Wu, Xi, et al.. (2018). Reinforcing Adversarial Robustness using Model Confidence Induced by Adversarial Training. International Conference on Machine Learning. 5334–5342. 3 indexed citations
18.
Dai, Cong, Weijia Zhang, Christopher Wai Kei Lam, et al.. (2017). A material-basis study of Aloe vera on the wnt/β-catenin signaling pathway using a knockin/knockout method with high-speed countercurrent chromatography. RSC Advances. 7(62). 38819–38829. 6 indexed citations
19.
20.
Dai, Cong, Mengping Liu, Jiefeng Chen, et al.. (2015). Simultaneous determination of four furostanol glycosides in rat plasma by UPLC–MS/MS and its application to PK study after oral administration of Dioscorea nipponica extracts. Journal of Pharmaceutical and Biomedical Analysis. 117. 372–379. 5 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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