Bingnan Jiang

830 total citations
28 papers, 638 citations indexed

About

Bingnan Jiang is a scholar working on Computational Theory and Mathematics, Numerical Analysis and Control and Systems Engineering. According to data from OpenAlex, Bingnan Jiang has authored 28 papers receiving a total of 638 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computational Theory and Mathematics, 13 papers in Numerical Analysis and 6 papers in Control and Systems Engineering. Recurrent topics in Bingnan Jiang's work include Optimization and Variational Analysis (13 papers), Advanced Optimization Algorithms Research (11 papers) and Contact Mechanics and Variational Inequalities (4 papers). Bingnan Jiang is often cited by papers focused on Optimization and Variational Analysis (13 papers), Advanced Optimization Algorithms Research (11 papers) and Contact Mechanics and Variational Inequalities (4 papers). Bingnan Jiang collaborates with scholars based in China, United States and Netherlands. Bingnan Jiang's co-authors include Yunsi Fei, Ming Tian, Fang‐Le Peng, Xiaoyun Zhang, Yuanheng Wang, Jen‐Chih Yao, Wim J. van der Linden, Tiantian Xu, Hai Zhang and Ke Wang and has published in prestigious journals such as IEEE Transactions on Smart Grid, IEEE Transactions on Vehicular Technology and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Bingnan Jiang

27 papers receiving 615 citations

Peers

Bingnan Jiang

EEE

CSE

Fernando A. C. C. Fontes Portugal

Jadranko Matuško Croatia

Stephen Frank United States

Abolfazl Rahimnejad Canada

Adnan Yassine France

Baisravan HomChaudhuri United States

Francesco Smarra Italy

Özgür Başkan Türkiye

Anthony Kelman United States

Jia Wu China

Fernando A. C. C. Fontes Portugal

Bingnan Jiang

85 ×0.3

EEE

20 ×0.1

453 ×2.2

CSE

34 ×0.2

18 ×0.2

CSE

Citations per year, relative to Bingnan Jiang Bingnan Jiang (= 1×) peers Fernando A. C. C. Fontes

Countries citing papers authored by Bingnan Jiang

Since Specialization

Citations

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

Fields of papers citing papers by Bingnan Jiang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bingnan Jiang

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

All Works

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20 of 20 papers shown

Wang, Ke, Yuanheng Wang, Yekini Shehu, & Bingnan Jiang. (2024). Double inertial Forward–Backward–Forward method with adaptive step-size for variational inequalities with quasi-monotonicity. Communications in Nonlinear Science and Numerical Simulation. 132. 107924–107924. 4 indexed citations

Wang, Yuanheng, Yidan Gao, & Bingnan Jiang. (2023). Weak and strong convergence of a modified adaptive generalized Popov's algorithm for solving variational inequality problems. Optimization. 73(8). 2695–2720. 1 indexed citations

Wang, Yuanheng, Tiantian Xu, Jen‐Chih Yao, & Bingnan Jiang. (2022). Self-Adaptive Method and Inertial Modification for Solving the Split Feasibility Problem and Fixed-Point Problem of Quasi-Nonexpansive Mapping. Mathematics. 10(9). 1612–1612. 7 indexed citations

Jiang, Bingnan, et al.. (2021). A Smart Authoring System for Designing, Configuring, and Deploying Adaptive Assessments at Scale. International Journal of Artificial Intelligence in Education. 32(1). 28–47. 2 indexed citations

Wang, Yuanheng, Xueting Li, & Bingnan Jiang. (2021). TWO NEW INERTIAL RELAXED GRADIENT CQ ALGORITHMS ON THE SPLIT EQUALITY PROBLEM. Journal of Applied Analysis & Computation. 12(1). 436–454. 1 indexed citations

Jiang, Bingnan, Yuanheng Wang, & Jen‐Chih Yao. (2021). Multi-Step Inertial Regularized Methods for Hierarchical Variational Inequality Problems Involving Generalized Lipschitzian Mappings. Mathematics. 9(17). 2103–2103. 4 indexed citations

Linden, Wim J. van der & Bingnan Jiang. (2020). A Shadow-Test Approach to Adaptive Item Calibration. Psychometrika. 85(2). 301–321. 5 indexed citations

Tian, Ming & Bingnan Jiang. (2020). Inertial Haugazeau's hybrid subgradient extragradient algorithm for variational inequality problems in Banach spaces. Optimization. 70(5-6). 987–1007. 8 indexed citations

Tian, Ming & Bingnan Jiang. (2020). Inertial hybrid algorithm for variational inequality problems in Hilbert spaces. Journal of Inequalities and Applications. 2020(1). 13 indexed citations

10.

Tian, Ming & Bingnan Jiang. (2017). Weak convergence theorem for a class of split variational inequality problems and applications in a Hilbert space. Journal of Inequalities and Applications. 2017(1). 123–123. 30 indexed citations

11.

Tian, Ming & Bingnan Jiang. (2017). Weak convergence theorem for zero points of inverse strongly monotone mapping and fixed points of nonexpansive mapping in Hilbert space. Optimization. 66(10). 1689–1698. 9 indexed citations

12.

Jiang, Bingnan & Yunsi Fei. (2016). Vehicle Speed Prediction by Two-Level Data Driven Models in Vehicular Networks. IEEE Transactions on Intelligent Transportation Systems. 18(7). 1793–1801. 117 indexed citations

13.

Tian, Ming & Bingnan Jiang. (2016). Weak convergence theorem for variational inequality problems with monotone mapping in Hilbert space. Journal of Inequalities and Applications. 2016(1). 4 indexed citations

14.

Jiang, Bingnan & Yunsi Fei. (2015). Traffic and vehicle speed prediction with neural network and Hidden Markov model in vehicular networks. 1082–1087. 36 indexed citations

15.

Jiang, Bingnan & Yunsi Fei. (2014). On-road PHEV power management with hierarchical strategies in vehicular networks. 1077–1084. 6 indexed citations

16.

Jiang, Bingnan & Yunsi Fei. (2014). Smart Home in Smart Microgrid: A Cost-Effective Energy Ecosystem With Intelligent Hierarchical Agents. IEEE Transactions on Smart Grid. 6(1). 3–13. 117 indexed citations

17.

Jiang, Bingnan & Yunsi Fei. (2013). Decentralized scheduling of PEV on-street parking and charging for smart grid reactive power compensation. 1–6. 31 indexed citations

18.

Jiang, Bingnan & Hai Zhang. (2009). Realization of Distributed Traffic Simulation System with SCA and SDO. 9. 222–225. 3 indexed citations

19.

Jiang, Bingnan & Hai Zhang. (2009). Architecture of Distributed Traffic Simulation System Based on SOA and Multi-Agents. 34. 216–220. 1 indexed citations

20.

Jiang, Bingnan, John C. Bruch, & J.M. Sloss. (2000). Convergence of the solution for a domain decomposed, heterogeneously modeled flow past a concave profile problem. Numerical Methods for Partial Differential Equations. 16(5). 459–479. 1 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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