Rong Jiang

83 total papers · 509 total citations
43 papers, 340 citations indexed

About

Rong Jiang is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Aerospace Engineering. According to data from OpenAlex, Rong Jiang has authored 43 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Control and Systems Engineering, 9 papers in Computer Vision and Pattern Recognition and 7 papers in Aerospace Engineering. Recurrent topics in Rong Jiang's work include Robot Manipulation and Learning (6 papers), Reinforcement Learning in Robotics (4 papers) and Multimodal Machine Learning Applications (3 papers). Rong Jiang is often cited by papers focused on Robot Manipulation and Learning (6 papers), Reinforcement Learning in Robotics (4 papers) and Multimodal Machine Learning Applications (3 papers). Rong Jiang collaborates with scholars based in China, Australia and Hong Kong. Rong Jiang's co-authors include Bin He, Zhipeng Wang, Yanmin Zhou, Fei Liu, Zhiyuan Zeng, Gang Li, Xin Li, Hong Yan, Jie Chao and Yan Liao and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Industrial Electronics and IEEE Access.

In The Last Decade

Rong Jiang

36 papers receiving 325 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Rong Jiang	78	73	69	52	40	43	340
Yan Wang	43 0.6×	42 0.6×	122 1.8×	53 1.0×	16 0.4×	59	360
Jing Hou	44 0.6×	62 0.8×	74 1.1×	35 0.7×	47 1.2×	39	353
Xiao Yang	49 0.6×	53 0.7×	131 1.9×	78 1.5×	19 0.5×	34	393
Cheng Yang	37 0.5×	69 0.9×	34 0.5×	78 1.5×	47 1.2×	34	390
Yue Li	79 1.0×	69 0.9×	65 0.9×	142 2.7×	15 0.4×	34	357
Chaochao Li	70 0.9×	71 1.0×	47 0.7×	36 0.7×	48 1.2×	43	378
Guixiong Liu	120 1.5×	65 0.9×	28 0.4×	32 0.6×	54 1.4×	99	399
Dan Liu	95 1.2×	47 0.6×	42 0.6×	48 0.9×	16 0.4×	61	347
Meimei Huo	100 1.3×	57 0.8×	38 0.6×	70 1.3×	46 1.1×	34	335
Jan Lundgren	44 0.6×	65 0.9×	44 0.6×	76 1.5×	15 0.4×	49	348

Countries citing papers authored by Rong Jiang

Since Specialization

Citations

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

Fields of papers citing papers by Rong Jiang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rong Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Rong Jiang. A scholar is included among the top collaborators of Rong 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 Rong Jiang. Rong 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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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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