Jing Xiong

621 total citations · 1 hit paper
11 papers, 366 citations indexed

About

Jing Xiong is a scholar working on Control and Systems Engineering, Cellular and Molecular Neuroscience and Social Psychology. According to data from OpenAlex, Jing Xiong has authored 11 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Control and Systems Engineering, 2 papers in Cellular and Molecular Neuroscience and 2 papers in Social Psychology. Recurrent topics in Jing Xiong's work include Traffic and Road Safety (2 papers), Neurotransmitter Receptor Influence on Behavior (2 papers) and Human-Automation Interaction and Safety (2 papers). Jing Xiong is often cited by papers focused on Traffic and Road Safety (2 papers), Neurotransmitter Receptor Influence on Behavior (2 papers) and Human-Automation Interaction and Safety (2 papers). Jing Xiong collaborates with scholars based in China, United States and Russia. Jing Xiong's co-authors include Mark Horowitz, Jing Ren, Liqun Luo, Rachael L. Neve, Katherine E. DeLoach, Brielle R. Ferguson, Drew Friedmann, Ran Chen, Cindy D. Liu and Brandon Weissbourd and has published in prestigious journals such as Cell, PLoS ONE and Scientific Reports.

In The Last Decade

Jing Xiong

9 papers receiving 363 citations

Hit Papers

Anatomically Defined and Functionally Distinct Dorsal Rap... 2018 2026 2020 2023 2018 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jing Xiong China 5 188 122 120 51 42 11 366
Tanya Weerakkody United States 2 188 1.0× 116 1.0× 113 0.9× 47 0.9× 42 1.0× 2 312
Joanna Kaczanowska Austria 8 108 0.6× 52 0.4× 127 1.1× 45 0.9× 27 0.6× 15 242
Megha Sehgal United States 6 311 1.7× 102 0.8× 233 1.9× 35 0.7× 30 0.7× 10 497
Tom Macpherson Japan 11 226 1.2× 123 1.0× 258 2.1× 43 0.8× 17 0.4× 21 512
Tomofumi Oga Japan 12 180 1.0× 108 0.9× 273 2.3× 35 0.7× 34 0.8× 15 529
Marta Pratelli United States 9 151 0.8× 93 0.8× 77 0.6× 31 0.6× 24 0.6× 16 258
Yohan J. John United States 13 179 1.0× 79 0.6× 369 3.1× 30 0.6× 18 0.4× 22 618
Ourania Tzortzi Sweden 4 178 0.9× 133 1.1× 145 1.2× 25 0.5× 27 0.6× 4 342
Michele Ferrante United States 11 250 1.3× 67 0.5× 304 2.5× 38 0.7× 13 0.3× 18 524
Alessandra Lintas Switzerland 12 353 1.9× 149 1.2× 169 1.4× 24 0.5× 17 0.4× 26 518

Countries citing papers authored by Jing Xiong

Since Specialization
Citations

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

Fields of papers citing papers by Jing Xiong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Xiong

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

All Works

11 of 11 papers shown
1.
Chen, Tianxiang, et al.. (2025). Research, application, and challenges of causal inference in industrial fault diagnosis: A survey. Engineering Applications of Artificial Intelligence. 158. 111376–111376. 2 indexed citations
2.
Xiong, Jing. (2023). Treatment of OOV Words in Neural Machine Translation. 1083–1085.
3.
Wang, Xuan, et al.. (2022). Yellow light decision based on driving style: Day or night?. PLoS ONE. 17(3). e0265267–e0265267. 1 indexed citations
4.
Xiong, Jing, et al.. (2022). Simulating the effect of different lighting conditions on left-turn driving behavior using a scenario-based anger method. Scientific Reports. 12(1). 9791–9791. 4 indexed citations
5.
Xiong, Jing, et al.. (2021). Path planning for UAV based on improved dynamic step RRT algorithm. Journal of Physics Conference Series. 1983(1). 12034–12034. 6 indexed citations
6.
Ren, Jing, Drew Friedmann, Jing Xiong, et al.. (2018). Anatomically Defined and Functionally Distinct Dorsal Raphe Serotonin Sub-systems. Cell. 175(2). 472–487.e20. 306 indexed citations breakdown →
7.
Xiong, Jing, Jing Ren, Liqun Luo, & Mark Horowitz. (2018). Mapping Histological Slice Sequences to the Allen Mouse Brain Atlas Without 3D Reconstruction. Frontiers in Neuroinformatics. 12. 93–93. 23 indexed citations
8.
Ren, Jing, Drew Friedmann, Jing Xiong, et al.. (2018). Anatomical, Physiological, and Functional Heterogeneity of the Dorsal Raphe Serotonin System. SSRN Electronic Journal. 1 indexed citations
9.
Zhang, Jianhua, Jing Xiong, Mifeng Ren, Yuntao Shi, & Jinliang Xu. (2016). Filter-Based Fault Diagnosis of Wind Energy Conversion Systems Subject to Sensor Faults. Journal of Dynamic Systems Measurement and Control. 138(6). 7 indexed citations
10.
Xiong, Jing, et al.. (2012). An improved fast Root-MUSIC algorithm for DOA estimation. 1–3. 16 indexed citations
11.
Xiong, Jing, et al.. (2012). Simulation and Design of Double Close-Loop DC Motor Control System Based on Matlab. Advanced materials research. 546-547. 248–253.

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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