Benben Jiang

4.2k total citations · 1 hit paper
48 papers, 3.1k citations indexed

About

Benben Jiang is a scholar working on Control and Systems Engineering, Automotive Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Benben Jiang has authored 48 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Control and Systems Engineering, 21 papers in Automotive Engineering and 18 papers in Electrical and Electronic Engineering. Recurrent topics in Benben Jiang's work include Fault Detection and Control Systems (21 papers), Advanced Battery Technologies Research (21 papers) and Advancements in Battery Materials (15 papers). Benben Jiang is often cited by papers focused on Fault Detection and Control Systems (21 papers), Advanced Battery Technologies Research (21 papers) and Advancements in Battery Materials (15 papers). Benben Jiang collaborates with scholars based in China, United States and Canada. Benben Jiang's co-authors include Richard D. Braatz, Martin Z. Bazant, Patrick K. Herring, William C. Chueh, Stephen J. Harris, Peter M. Attia, Dimitrios Fraggedakis, Michael H. Chen, Kristen Severson and Muratahan Aykol and has published in prestigious journals such as Nature, Nature Communications and Energy & Environmental Science.

In The Last Decade

Benben Jiang

44 papers receiving 3.0k citations

Hit Papers

Data-driven prediction of battery cycle life before capac... 2019 2026 2021 2023 2019 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Benben Jiang China 19 2.2k 2.1k 853 434 385 48 3.1k
Lifeng Wu China 26 921 0.4× 925 0.4× 820 1.0× 361 0.8× 507 1.3× 77 2.3k
Jon P. Christophersen United States 22 2.6k 1.2× 2.2k 1.1× 863 1.0× 705 1.6× 192 0.5× 40 3.1k
Widanalage Dhammika Widanage United Kingdom 37 4.8k 2.2× 4.6k 2.2× 821 1.0× 568 1.3× 383 1.0× 102 5.6k
Zhongwei Deng China 35 3.6k 1.6× 3.0k 1.5× 1.0k 1.2× 545 1.3× 168 0.4× 86 4.0k
Zi Yang China 6 2.3k 1.0× 2.3k 1.1× 402 0.5× 416 1.0× 125 0.3× 20 2.8k
Saurabh Saxena United States 19 1.2k 0.5× 1.2k 0.6× 200 0.2× 231 0.5× 100 0.3× 42 1.8k
Marie‐Cécile Péra France 38 2.7k 1.2× 4.0k 1.9× 992 1.2× 210 0.5× 246 0.6× 108 5.0k
Cesare Pianese Italy 31 1.2k 0.5× 1.7k 0.8× 889 1.0× 39 0.1× 308 0.8× 177 3.1k
Yankai Cao Canada 19 519 0.2× 599 0.3× 361 0.4× 95 0.2× 98 0.3× 65 1.2k
Rachid Outbib France 28 958 0.4× 1.7k 0.8× 995 1.2× 87 0.2× 185 0.5× 132 2.6k

Countries citing papers authored by Benben Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Benben Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benben Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Benben Jiang. A scholar is included among the top collaborators of Benben Jiang 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 Benben Jiang. Benben Jiang 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.
Jiang, Benben, et al.. (2025). Parallel Bayesian optimization using satisficing Thompson sampling for fast charging design of lithium-ion batteries. Engineering Applications of Artificial Intelligence. 154. 110868–110868. 1 indexed citations
3.
Jiang, Benben, et al.. (2025). Fast Charging of Lithium-Ion Batteries Using Deep Bayesian Optimization With Recurrent Neural Network. IEEE Transactions on Automation Science and Engineering. 22. 13150–13160. 2 indexed citations
4.
Jiang, Benben, et al.. (2025). Attention-Enhanced Deep Reinforcement Learning for Fast Charging Optimization of Lithium-Ion Batteries With Incomplete Observations. IEEE Transactions on Industrial Informatics. 21(5). 3768–3775.
6.
Liu, Zeyuan, et al.. (2024). Adaptive boosting with fairness-aware reweighting technique for fair classification. Expert Systems with Applications. 250. 123916–123916. 2 indexed citations
7.
Liu, R., Guannan He, Dharik S. Mallapragada, et al.. (2024). A cross-scale framework for evaluating flexibility values of battery and fuel cell electric vehicles. Nature Communications. 15(1). 280–280. 34 indexed citations
8.
Liu, R. & Benben Jiang. (2024). A multi-time-resolution attention-based interaction network for co-estimation of multiple battery states. Applied Energy. 381. 125097–125097. 5 indexed citations
9.
Liu, Zeyuan, et al.. (2023). Active learning with fairness-aware clustering for fair classification considering multiple sensitive attributes. Information Sciences. 647. 119521–119521. 6 indexed citations
10.
Jiang, Benben, et al.. (2023). Multi-objective optimization for fast charging design of lithium-ion batteries using constrained Bayesian optimization. Journal of Power Sources. 584. 233602–233602. 11 indexed citations
11.
Zhao, Hongbo, Haitao Deng, Jongwoo Lim, et al.. (2023). Learning heterogeneous reaction kinetics from X-ray videos pixel by pixel. Nature. 621(7978). 289–294. 56 indexed citations
12.
Zhang, Jingzhao, Yanan Wang, Benben Jiang, et al.. (2023). Realistic fault detection of li-ion battery via dynamical deep learning. Nature Communications. 14(1). 5940–5940. 85 indexed citations
13.
Ma, Guijun, Songpei Xu, Benben Jiang, et al.. (2022). Real-time personalized health status prediction of lithium-ion batteries using deep transfer learning. Energy & Environmental Science. 15(10). 4083–4094. 141 indexed citations
14.
Reis, Marco S. & Benben Jiang. (2022). Predicting the lifetime of Lithium–Ion batteries: Integrated feature extraction and modeling through sequential Unsupervised-Supervised Projections (USP). Chemical Engineering Science. 252. 117510–117510. 4 indexed citations
15.
Berliner, Marc D., Hongbo Zhao, Supratim Das, et al.. (2021). Nonlinear Identifiability Analysis of the Porous Electrode Theory Model of Lithium-Ion Batteries. Journal of The Electrochemical Society. 168(9). 90546–90546. 31 indexed citations
16.
Lu, Qiugang, Benben Jiang, & Eranda Harinath. (2019). Fault Diagnosis in Industrial Processes by Maximizing Pairwise Kullback–Leibler Divergence. IEEE Transactions on Control Systems Technology. 29(2). 780–785. 14 indexed citations
17.
Jiang, Benben & Yi Luo. (2018). Matrix factorization based instrumental variable approach for simultaneous identification of Bi-directional path models. ISA Transactions. 79. 73–82. 4 indexed citations
18.
Jiang, Benben, Zhifeng Guo, Qunxiong Zhu, & Gao Huang. (2017). Pairwise discriminate analysis based minimax probability machine (PDA-MPM) approach for fault diagnosis. 2017 IEEE Conference on Control Technology and Applications (CCTA). 1486–1491. 1 indexed citations
19.
Jiang, Benben, Zhifeng Guo, Qunxiong Zhu, & Gao Huang. (2017). Dynamic Minimax Probability Machine-Based Approach for Fault Diagnosis Using Pairwise Discriminate Analysis. IEEE Transactions on Control Systems Technology. 27(2). 806–813. 21 indexed citations
20.
Jiang, Benben, Fan Yang, Wei Wang, & Dexian Huang. (2014). Simultaneous Identification of Bidirectional Path Models Based on Process Data. IEEE Transactions on Automation Science and Engineering. 12(2). 666–679. 13 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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