Gang Xiong

7.9k total citations · 3 hit papers
447 papers, 5.5k citations indexed

About

Gang Xiong is a scholar working on Control and Systems Engineering, Building and Construction and Electrical and Electronic Engineering. According to data from OpenAlex, Gang Xiong has authored 447 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Control and Systems Engineering, 69 papers in Building and Construction and 66 papers in Electrical and Electronic Engineering. Recurrent topics in Gang Xiong's work include Traffic Prediction and Management Techniques (49 papers), Transportation Planning and Optimization (36 papers) and Traffic control and management (27 papers). Gang Xiong is often cited by papers focused on Traffic Prediction and Management Techniques (49 papers), Transportation Planning and Optimization (36 papers) and Traffic control and management (27 papers). Gang Xiong collaborates with scholars based in China, Finland and United States. Gang Xiong's co-authors include Fei‐Yue Wang, Fenghua Zhu, Yisheng Lv, Zhen Shen, Xisong Dong, Shalinee Kishore, Timo R. Nyberg, Yuanyuan Chen, Xiuqin Shang and Li Zhu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Langmuir and Scientific Reports.

In The Last Decade

Gang Xiong

411 papers receiving 5.3k citations

Hit Papers

Parallel Transportation Systems: Toward IoT-Enabled Smart... 2019 2026 2021 2023 2019 2020 2022 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gang Xiong China 35 1.0k 916 887 876 865 447 5.5k
David W. Coit United States 52 1.6k 1.5× 1.2k 1.3× 1.3k 1.5× 327 0.4× 912 1.1× 201 12.0k
Abdullah Konak United States 25 501 0.5× 1.1k 1.2× 676 0.8× 576 0.7× 405 0.5× 135 4.6k
Qing He China 39 1.2k 1.2× 484 0.5× 618 0.7× 1.1k 1.3× 509 0.6× 231 5.2k
Qiang Yang China 40 2.0k 1.9× 496 0.5× 3.5k 4.0× 369 0.4× 765 0.9× 365 6.8k
Yue Wang China 38 1.3k 1.3× 294 0.3× 1.0k 1.1× 236 0.3× 1.4k 1.6× 400 6.8k
Chao Chen China 44 868 0.8× 493 0.5× 1.9k 2.1× 2.2k 2.5× 1.6k 1.9× 348 8.2k
R. Timothy Marler United States 10 890 0.9× 464 0.5× 1.1k 1.2× 342 0.4× 265 0.3× 11 4.9k
Yong Qin China 42 2.5k 2.5× 679 0.7× 701 0.8× 726 0.8× 236 0.3× 495 6.9k
Chao Liu China 36 815 0.8× 2.8k 3.0× 453 0.5× 214 0.2× 517 0.6× 200 6.2k
Liang Qi China 31 511 0.5× 1.4k 1.6× 501 0.6× 280 0.3× 446 0.5× 214 3.5k

Countries citing papers authored by Gang Xiong

Since Specialization
Citations

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

Fields of papers citing papers by Gang Xiong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gang Xiong

This figure shows the co-authorship network connecting the top 25 collaborators of Gang Xiong. A scholar is included among the top collaborators of Gang 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 Gang Xiong. Gang Xiong 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.
Xiong, Gang, et al.. (2025). Advancing Cybersecurity through the Development of a Semantic Knowledge Base: Novel Methods and Schemes for Multi-source Data Integration. Journal of Advances in Information Technology. 16(2). 177–188.
2.
Lin, Xinjie, Gang Xiong, Gaopeng Gou, et al.. (2025). Respond to Change With Constancy: Instruction-Tuning With LLM for Non-I.I.D. Network Traffic Classification. IEEE Transactions on Information Forensics and Security. 20. 5758–5773.
3.
Liu, Xiaolei, Zhaoxia Zhou, Stuart Robertson, et al.. (2025). Improved interface passivation in high-efficiency Se-alloyed CdTe solar cells using a SnO 2 /ZnO n-type bilayer. Solar Energy Materials and Solar Cells. 297. 114139–114139.
4.
Wang, Jian, et al.. (2024). Intelligent Generation of Test Cases for a Parallel Testing System: A Case Study on Railway Systems. IEEE Intelligent Transportation Systems Magazine. 17(3). 6–17. 1 indexed citations
5.
Zhao, Mingyang, et al.. (2024). Geometry-Guided Neural Implicit Surface Reconstruction. IEEE Transactions on Computational Social Systems. 11(6). 7898–7908. 1 indexed citations
6.
7.
Xiong, Gang, et al.. (2023). Autonomous ship navigation with an enhanced safety collision avoidance technique. ISA Transactions. 144. 271–281. 7 indexed citations
8.
Xiong, Gang, et al.. (2023). Multi-Agent Reinforcement Learning for Extended Flexible Job Shop Scheduling. Machines. 12(1). 8–8. 10 indexed citations
9.
Xiong, Gang, et al.. (2022). A Non-Local Attention Feature Fusion Network for Multiscale Object Detection. IEEE Journal of Radio Frequency Identification. 6. 733–738. 5 indexed citations
10.
Kang, Shao‐Bo, et al.. (2022). Behaviour of glulam timber frames with different beam-column connections and braces under reversed cyclic loads. Journal of Building Engineering. 49. 104031–104031. 7 indexed citations
11.
Zhang, Haiou, et al.. (2022). Deep learning based online metallic surface defect detection method for wire and arc additive manufacturing. Robotics and Computer-Integrated Manufacturing. 80. 102470–102470. 162 indexed citations breakdown →
12.
Zhao, Meihua, Gang Xiong, MengChu Zhou, et al.. (2022). PCUNet: A Context-Aware Deep Network for Coarse-to-Fine Point Cloud Completion. IEEE Sensors Journal. 22(15). 15098–15110. 7 indexed citations
13.
Xiong, Gang, et al.. (2022). Global buckling behaviour of bamboo scrimber box columns under axial compression: Experimental tests and numerical modelling. Journal of Building Engineering. 63. 105435–105435. 18 indexed citations
14.
Lodhi, Ehtisham, et al.. (2022). An AdaBoost Ensemble Model for Fault Detection and Classification in Photovoltaic Arrays. IEEE Journal of Radio Frequency Identification. 6. 794–800. 21 indexed citations
15.
Shen, Zhen, Yong Yao, Yaqin Xie, et al.. (2019). The process of 3D printed skull models for anatomy education. SHILAP Revista de lepidopterología. 24(sup1). 121–130. 27 indexed citations
16.
Li, Zhishuai, Gang Xiong, Yuanyuan Chen, et al.. (2019). A Hybrid Deep Learning Approach with GCN and LSTM for Traffic Flow Prediction. 1929–1933. 86 indexed citations
17.
Xiong, Gang, et al.. (2014). Research on passenger flow counting based on embedded system. 3116–3119. 3 indexed citations
18.
Xiong, Gang, et al.. (2012). To improve safety and reliability of nuclear power plant with parallel system method. Systems Engineering - Theory & Practice. 32(5). 1018–1026. 3 indexed citations
19.
Xiang, Qiaojun, et al.. (2012). Safety impact analysis of large vehicles' right-turn on pedestrians and non-motorized vehicle at signalized intersection. World Automation Congress. 1–4. 1 indexed citations
20.
Xiong, Gang. (1996). DISCUSSION ON SOME THEORETICAL AND TECHNICAL PROBLEMS OF CIPS. Information and Computation.

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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