Cong Wang

3.9k total citations · 1 hit paper
164 papers, 3.0k citations indexed

About

Cong Wang is a scholar working on Control and Systems Engineering, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Cong Wang has authored 164 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 88 papers in Control and Systems Engineering, 49 papers in Artificial Intelligence and 25 papers in Biomedical Engineering. Recurrent topics in Cong Wang's work include Fault Detection and Control Systems (36 papers), Adaptive Control of Nonlinear Systems (34 papers) and Neural Networks and Applications (33 papers). Cong Wang is often cited by papers focused on Fault Detection and Control Systems (36 papers), Adaptive Control of Nonlinear Systems (34 papers) and Neural Networks and Applications (33 papers). Cong Wang collaborates with scholars based in China, United States and Australia. Cong Wang's co-authors include Shi‐Lu Dai, Wei Zeng, Min Wang, Tianrui Chen, David J. Hill, Fei Luo, Fang Zhang, Muqing Deng, Tengfei Liu and Daoliang Li and has published in prestigious journals such as Advanced Functional Materials, IEEE Transactions on Automatic Control and IEEE Transactions on Industrial Electronics.

In The Last Decade

Cong Wang

150 papers receiving 2.9k citations

Hit Papers

Neural Learning Control of Marine Surface Vessels With Gu... 2015 2026 2018 2022 2015 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Neural Learning Control of Marine Surface Vessels With Guaranteed Transient Tracking Performance
    2015 269 citations Cong Wang et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cong Wang China 29 1.4k 496 473 471 325 164 3.0k
Qing Li China 30 1.4k 1.0× 690 1.4× 363 0.8× 453 1.0× 215 0.7× 316 3.6k
Zhe Wu United States 33 1.8k 1.3× 344 0.7× 433 0.9× 373 0.8× 129 0.4× 166 3.3k
Chao Zhang China 22 915 0.7× 160 0.3× 650 1.4× 597 1.3× 202 0.6× 146 4.1k
Cong Wang China 30 1.5k 1.0× 219 0.4× 329 0.7× 1.2k 2.6× 371 1.1× 131 3.4k
Kai Zhao China 29 2.3k 1.7× 254 0.5× 324 0.7× 277 0.6× 815 2.5× 228 3.9k
Melanie N. Zeilinger Switzerland 30 2.8k 2.0× 153 0.3× 590 1.2× 433 0.9× 218 0.7× 133 3.9k
Gerasimos Rigatos Greece 34 2.6k 1.8× 233 0.5× 680 1.4× 1.0k 2.2× 137 0.4× 330 4.0k
Xi Chen China 22 588 0.4× 213 0.4× 262 0.6× 178 0.4× 196 0.6× 176 2.1k
Chun‐Liang Lin Taiwan 27 569 0.4× 510 1.0× 209 0.4× 533 1.1× 90 0.3× 218 2.7k
Cheng Peng China 23 1.1k 0.8× 259 0.5× 265 0.6× 418 0.9× 174 0.5× 91 2.1k

Countries citing papers authored by Cong Wang

Since Specialization
Citations

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

Fields of papers citing papers by Cong Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cong Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Cong Wang. A scholar is included among the top collaborators of Cong Wang 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 Cong Wang. Cong Wang 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.
Xia, Haiying, et al.. (2024). A Method for Enhancing the Accuracy of Pet Breeds Identification Model in Complex Environments. Applied Sciences. 14(16). 6914–6914.
3.
Liu, Yan, et al.. (2024). Detection of Scratch Defects on Metal Surfaces Based on MSDD-UNet. Electronics. 13(16). 3241–3241. 4 indexed citations
4.
Wang, Cong, et al.. (2024). Comparing Link Sharing and Flow Completion Time in Traditional and Learning-based TCP. 167–172. 1 indexed citations
5.
Wu, Weiming, et al.. (2024). An interpretable shapelets-based method for myocardial infarction detection using dynamic learning and deep learning. Physiological Measurement. 45(3). 35001–35001. 1 indexed citations
6.
Rojas‐Cessa, Roberto, et al.. (2024). A Special-Purpose Video Streaming Codec for Internet-based Remote Driving. 1109–1116.
7.
Yang, Xiao, et al.. (2023). Combining Downscaled Global Climate Model Data with SWAT to Assess Regional Climate Change Properties and Hydrological Responses. KSCE Journal of Civil Engineering. 27(5). 2327–2338. 1 indexed citations
8.
Wang, Cong, et al.. (2023). Quantitative estimates for space-time analyticity of solutions to the fractional Navier-Stokes equations. Communications on Pure & Applied Analysis. 22(8). 2619–2645.
9.
Wu, Weiming, et al.. (2023). Integrating reinforcement learning with deterministic learning for fault diagnosis of nonlinear systems. Neurocomputing. 562. 126847–126847. 5 indexed citations
10.
Zeng, Yu, et al.. (2023). Deterministic learning-based sensor fault detection, isolation and accommodation of nonlinear systems. International Journal of Control. 97(10). 2233–2245. 3 indexed citations
11.
Chen, Geng, Youping Tu, Cong Wang, et al.. (2018). Analysis on Temperature Distribution and Cur rent-Carrying Capacity of GIL Filled with Fluoronitriles-CO2 Gas Mixture. Journal of Electrical Engineering and Technology. 13(6). 2402–2411. 11 indexed citations
12.
Deng, Muqing, et al.. (2018). Human gait recognition based on deterministic learning and Kinect sensor. 1842–1847. 7 indexed citations
13.
Wang, Cong & Hongli Zhang. (2016). Parameter identification for fractional-order multi-scroll chaotic systems based on original dual-state transition algorithm. Acta Physica Sinica. 65(6). 60503–60503. 4 indexed citations
14.
Wang, Cong, et al.. (2014). HARDWARE/SOFTWARE PARTITIONING ALGORITHM BASED ON THE COMBINATION OF GENETIC ALGORITHM AND TABU SEARCH. Engineering review. 34(2). 151–160. 12 indexed citations
15.
Wang, Cong. (2013). Triangulation-based localization algorithm over complex 3D terrains. Jisuanji yingyong yanjiu.
16.
Wang, Cong. (2013). Simultaneous Localization and Mapping Research for Air-duct Cleaning Robot Based on Inertial Navigation and Stereo Vision. Journal of Mechanical Engineering. 49(23). 59–59. 1 indexed citations
17.
Zeng, Wei & Cong Wang. (2012). Human gait recognition via deterministic learning. Neural Networks. 27 indexed citations
18.
Zeng, Wei & Cong Wang. (2011). Deterministic learning from NN output feedback control of Brunovsky systems. Chinese Control Conference. 6629–6634.
19.
Cheng, Hong, et al.. (2010). Series Arc Fault Detection and Implementation Based on the Short-time Fourier Transform. 1–4. 22 indexed citations
20.
Liu, Tengfei, Cong Wang, & David J. Hill. (2009). Learning from neural control of nonlinear systems in normal form. Systems & Control Letters. 58(9). 633–638. 69 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 Qing Li Breakdown of academic impact, for papers by Zhe Wu Breakdown of academic impact, for papers by Chao Zhang Breakdown of academic impact, for papers by Cong Wang Breakdown of academic impact, for papers by Kai Zhao Breakdown of academic impact, for papers by Melanie N. Zeilinger Breakdown of academic impact, for papers by Gerasimos Rigatos Breakdown of academic impact, for papers by Xi Chen Breakdown of academic impact, for papers by Chun‐Liang Lin Breakdown of academic impact, for papers by Cheng Peng
Rankless by CCL
2026