Jun Rao

711 total citations
21 papers, 532 citations indexed

About

Jun Rao is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Jun Rao has authored 21 papers receiving a total of 532 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computational Theory and Mathematics, 6 papers in Artificial Intelligence and 5 papers in Molecular Biology. Recurrent topics in Jun Rao's work include Adaptive Dynamic Programming Control (7 papers), Reinforcement Learning in Robotics (6 papers) and Metallurgy and Material Forming (4 papers). Jun Rao is often cited by papers focused on Adaptive Dynamic Programming Control (7 papers), Reinforcement Learning in Robotics (6 papers) and Metallurgy and Material Forming (4 papers). Jun Rao collaborates with scholars based in China, India and Germany. Jun Rao's co-authors include Dabing Zhang, Jianxin Shi, Sheng Quan, Jingcheng Wang, Jiahui Xu, Chaoyang Hu, Lin Hong, Hao Feng, Zhiyong Chen and Hongyuan Wang and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Scientific Reports and Journal of the Science of Food and Agriculture.

In The Last Decade

Jun Rao

19 papers receiving 520 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Rao China 10 245 172 101 55 55 21 532
Yusen Wu China 17 314 1.3× 214 1.2× 187 1.9× 48 0.9× 29 0.5× 82 882
Yan Bai China 14 301 1.2× 247 1.4× 42 0.4× 47 0.9× 33 0.6× 60 727
Longsheng Chen China 13 153 0.6× 66 0.4× 40 0.4× 50 0.9× 25 0.5× 44 511
Ahmed M. Alzohairy Egypt 11 216 0.9× 195 1.1× 13 0.1× 45 0.8× 21 0.4× 23 573
Qinxue Li China 15 489 2.0× 284 1.7× 70 0.7× 6 0.1× 25 0.5× 42 749
Hongyou Li China 16 304 1.2× 172 1.0× 83 0.8× 7 0.1× 47 0.9× 64 732
Fengyan Wu China 13 256 1.0× 230 1.3× 18 0.2× 12 0.2× 22 0.4× 41 667
Jinquan Huang China 13 438 1.8× 370 2.2× 31 0.3× 14 0.3× 24 0.4× 29 884

Countries citing papers authored by Jun Rao

Since Specialization
Citations

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

Fields of papers citing papers by Jun Rao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Rao

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Rao. A scholar is included among the top collaborators of Jun Rao 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 Jun Rao. Jun Rao 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.
2.
Xu, Jiahui, et al.. (2024). Reinforcement Learning Controller Design for Discrete-Time-Constrained Nonlinear Systems With Weight Initialization Method. IEEE Transactions on Systems Man and Cybernetics Systems. 54(4). 2368–2378. 2 indexed citations
3.
Wang, Jingcheng, et al.. (2023). Data-driven width spread prediction model improvement and parameters optimization in hot strip rolling process. Applied Intelligence. 53(21). 25752–25770. 5 indexed citations
4.
Wang, Jingcheng, et al.. (2023). Strip width spread prediction in rough rolling process based on mechanism modeling and optimization. Journal of Iron and Steel Research International. 30(12). 2416–2424. 2 indexed citations
5.
Wang, Jingcheng, et al.. (2023). Prediction of Energy Consumption in Horizontal Roughing Process of Hot Rolling Strip Based on TDADE Algorithm. IEEE Transactions on Automation Science and Engineering. 21(1). 555–568. 6 indexed citations
6.
Rao, Jun, et al.. (2023). Optimal control of nonlinear system based on deterministic policy gradient with eligibility traces. Nonlinear Dynamics. 111(21). 20041–20053. 7 indexed citations
7.
Wang, Jingcheng, et al.. (2023). A Novel Series-Concatenation Hybrid Prediction Model of Energy Consumption in Hot Strip Roughing Process With Multi-Step Rolling. IEEE Transactions on Automation Science and Engineering. 21(3). 4585–4598. 3 indexed citations
8.
Xu, Jiahui, et al.. (2023). Adaptive Dynamic Programming for Optimal Control of Discrete-Time Nonlinear Systems With Trajectory-Based Initial Control Policy. IEEE Transactions on Systems Man and Cybernetics Systems. 54(3). 1489–1501. 3 indexed citations
9.
Xu, Jiahui, et al.. (2022). Twin Deterministic Policy Gradient Adaptive Dynamic Programming for Optimal Control of Affine Nonlinear Discrete-time Systems. International Journal of Control Automation and Systems. 20(9). 3098–3109. 3 indexed citations
10.
Xu, Jiahui, et al.. (2021). Adaptive dynamic programming for optimal control of discrete‐time nonlinear system with state constraints based on control barrier function. International Journal of Robust and Nonlinear Control. 32(6). 3408–3424. 43 indexed citations
11.
Xu, Jiahui, Hongyuan Wang, Jun Rao, & Jingcheng Wang. (2021). Zone scheduling optimization of pumps in water distribution networks with deep reinforcement learning and knowledge-assisted learning. Soft Computing. 25(23). 14757–14767. 33 indexed citations
12.
Rao, Jun, et al.. (2020). Novel security system for wireless body area networks based on fuzzy logic and trust factor considering residual energy. Materials Today Proceedings. 45. 1498–1501. 8 indexed citations
13.
Rao, Jun, Hao Feng, Chenchen Yang, Zhiyong Chen, & Bin Xia. (2016). Optimal caching placement for D2D assisted wireless caching networks. 1–6. 79 indexed citations
14.
Rao, Jun, Hao Feng, & Zhiyong Chen. (2016). Exploiting user mobility for D2D assisted wireless caching networks. 1–5. 11 indexed citations
15.
Rao, Jun, Litao Yang, Jinchao Guo, et al.. (2016). Development of event-specific qualitative and quantitative PCR detection methods for the transgenic maize BVLA430101. European Food Research and Technology. 242(8). 1277–1284. 9 indexed citations
16.
Hong, Lin, Jun Rao, Jianxin Shi, et al.. (2014). Seed metabolomic study reveals significant metabolite variations and correlations among different soybean cultivars. Journal of Integrative Plant Biology. 56(9). 826–836. 76 indexed citations
17.
Hu, Chaoyang, Jianxin Shi, Sheng Quan, et al.. (2014). Metabolic variation between japonica and indica rice cultivars as revealed by non-targeted metabolomics. Scientific Reports. 4(1). 5067–5067. 150 indexed citations
18.
Rao, Jun, Fang Cheng, Chaoyang Hu, et al.. (2014). Metabolic map of mature maize kernels. Metabolomics. 10(5). 775–787. 59 indexed citations
19.
Jiang, Lingxi, et al.. (2010). Evaluation of Four Genes in Rice for Their Suitability As Endogenous Reference Standards in Quantitative PCR. Journal of Agricultural and Food Chemistry. 58(22). 11543–11547. 22 indexed citations
20.
Jiang, Lingxi, Litao Yang, Jun Rao, et al.. (2009). Development and in‐house validation of the event‐specific qualitative and quantitative PCR detection methods for genetically modified cotton MON15985. Journal of the Science of Food and Agriculture. 90(3). 402–408. 11 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Yusen Wu Breakdown of academic impact, for papers by Yan Bai Breakdown of academic impact, for papers by Longsheng Chen Breakdown of academic impact, for papers by Ahmed M. Alzohairy Breakdown of academic impact, for papers by Qinxue Li Breakdown of academic impact, for papers by Hongyou Li Breakdown of academic impact, for papers by Fengyan Wu Breakdown of academic impact, for papers by Jinquan Huang
Rankless by CCL
2026