Qi Kang

4.0k total citations
142 papers, 3.0k citations indexed

About

Qi Kang is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Control and Systems Engineering. According to data from OpenAlex, Qi Kang has authored 142 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Artificial Intelligence, 29 papers in Electrical and Electronic Engineering and 26 papers in Control and Systems Engineering. Recurrent topics in Qi Kang's work include Metaheuristic Optimization Algorithms Research (30 papers), Advanced Multi-Objective Optimization Algorithms (16 papers) and Imbalanced Data Classification Techniques (9 papers). Qi Kang is often cited by papers focused on Metaheuristic Optimization Algorithms Research (30 papers), Advanced Multi-Objective Optimization Algorithms (16 papers) and Imbalanced Data Classification Techniques (9 papers). Qi Kang collaborates with scholars based in China, United States and Saudi Arabia. Qi Kang's co-authors include MengChu Zhou, Jing An, Ahmed Chiheb Ammari, Abdullah Abusorrah, Qidi Wu, Qidi Wu, Siya Yao, Xiaohong Chen, Sisi Li and Khaled Sedraoui and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Automatic Control and ACS Applied Materials & Interfaces.

In The Last Decade

Qi Kang

132 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Qi Kang China	31	1.3k	942	538	436	313	142	3.0k
Xiao‐Zhi Gao Finland	33	1.7k 1.4×	674 0.7×	448 0.8×	265 0.6×	671 2.1×	185	4.3k
Jiujun Cheng China	32	1.9k 1.5×	940 1.0×	380 0.7×	184 0.4×	469 1.5×	95	3.8k
Haiping Ma China	28	1.3k 1.0×	475 0.5×	230 0.4×	144 0.3×	323 1.0×	86	2.5k
Junjie Xu China	19	1.2k 1.0×	445 0.5×	905 1.7×	109 0.3×	386 1.2×	41	3.2k
Mohamed Abouhawwash Egypt	29	1.6k 1.2×	808 0.9×	436 0.8×	120 0.3×	571 1.8×	210	3.9k
Yuehui Chen China	33	1.5k 1.2×	523 0.6×	523 1.0×	139 0.3×	403 1.3×	250	3.8k
Alberto Colorni Italy	16	1.1k 0.9×	363 0.4×	315 0.6×	482 1.1×	295 0.9×	41	3.1k
Kashif Hussain China	20	2.1k 1.7×	684 0.7×	490 0.9×	104 0.2×	479 1.5×	34	3.7k
Xiaoyan Sun China	30	1.5k 1.2×	442 0.5×	425 0.8×	98 0.2×	486 1.6×	130	3.1k
Yingjie Song China	19	1.0k 0.8×	443 0.5×	561 1.0×	76 0.2×	310 1.0×	61	2.6k

Countries citing papers authored by Qi Kang

Since Specialization

Citations

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

Fields of papers citing papers by Qi Kang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qi Kang

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

All Works

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20 of 20 papers shown

Kang, Qi, MengChu Zhou, Jing An, et al.. (2025). Dual Attention-Aided Cooperative Deep-Spatiotemporal-Feature-Extraction Network for Semi-Supervised Soft Sensing. IEEE Robotics and Automation Letters. 10(3). 2184–2190.

Kang, Qi, et al.. (2025). Evolutionary Algorithm Based on Surrogate and Inverse Surrogate Models for Expensive Multiobjective Optimization. IEEE/CAA Journal of Automatica Sinica. 12(5). 961–973. 1 indexed citations

Cai, Zhenhua, et al.. (2025). Quasi-1D NbTe4 for Broadband Pulse Generation from 1.0 to 3.0 μm: Bridging the Near- and Mid-Infrared. Nanomaterials. 15(6). 424–424.

Cui, Chen, et al.. (2025). Research on heat transfer and heat load analysis in a certain type of engine cylinder. Journal of Physics Conference Series. 2932(1). 12060–12060.

Li, Haojun, et al.. (2024). An improved method for developing the precipitable water vapor vertical correction global grid model. Atmospheric Research. 311. 107664–107664. 4 indexed citations

Kang, Qi, et al.. (2024). Value Approximator-Based Learning Model Predictive Control for Iterative Tasks. IEEE Transactions on Automatic Control. 69(10). 7020–7027.

Kang, Qi, et al.. (2024). Activation Function-Assisted Objective Space Mapping to Enhance Evolutionary Algorithms for Large-Scale Many-Objective Optimization. IEEE Transactions on Systems Man and Cybernetics Systems. 55(1). 183–195. 1 indexed citations

Li, Haojun, et al.. (2023). Improved service method and its positioning performance of the Galileo satellite clock correction. Advances in Space Research. 71(10). 4045–4054. 5 indexed citations

Zhang, Wenyao, et al.. (2023). Ternary Chalcogenide Ta₂NiTe₅ as Broadband Saturable Absorber for Passively Q‐Switched Pulse Generation. Advanced Optical Materials. 12(7). 4 indexed citations

10.

Kang, Qi, et al.. (2023). Robust Learning-Based Model Predictive Control for Intelligent Vehicles With Unknown Dynamics and Unbounded Disturbances. IEEE Transactions on Intelligent Vehicles. 9(2). 3409–3421. 6 indexed citations

11.

Kang, Qi, et al.. (2023). Principal Component-Based Semi-Supervised Extreme Learning Machine for Soft Sensing. IEEE Transactions on Automation Science and Engineering. 21(3). 3966–3976. 22 indexed citations

12.

Tian, Guangdong, et al.. (2023). Addressing a Collaborative Maintenance Planning Using Multiple Operators by a Multi-Objective Metaheuristic Algorithm. IEEE Transactions on Automation Science and Engineering. 22. 606–618. 40 indexed citations

13.

Yao, Jiarong, et al.. (2023). Dynamic origin–destination flow estimation for urban road network solely using probe vehicle trajectory data. Journal of Intelligent Transportation Systems. 28(5). 756–773. 2 indexed citations

14.

Li, Haojun, Ge Zhu, Qi Kang, Liangke Huang, & Hu Wang. (2023). A global zenith tropospheric delay model with ERA5 and GNSS-based ZTD difference correction. GPS Solutions. 27(3). 34 indexed citations

15.

Kang, Qi, et al.. (2022). Domain Adaptation Soft Sensing with Parameter Transferring. 44. 1–5. 1 indexed citations

16.

Tan, Zhipeng, et al.. (2021). Dynamic Embedding Projection-Gated Convolutional Neural Networks for Text Classification. IEEE Transactions on Neural Networks and Learning Systems. 33(3). 973–982. 64 indexed citations

17.

Kang, Qi. (2019). PRACTICAL EXPERIENCE OF INFORMATION LITERACY EDUCATION IN UNIVERSITIES IN CHINA. AZIMUTH OF SCIENTIFIC RESEARCH PEDAGOGY AND PSYCHOLOGY. 8(29). 1 indexed citations

18.

Ma, Lu, et al.. (2019). An Adaptive Wordpiece Language Model for Learning Chinese Word Embeddings. 812–817. 3 indexed citations

19.

Kang, Qi, et al.. (2018). A Collaborative Resource Allocation Strategy for Decomposition-Based Multiobjective Evolutionary Algorithms. IEEE Transactions on Systems Man and Cybernetics Systems. 49(12). 2416–2423. 120 indexed citations

20.

Kang, Qi, MengChu Zhou, & Chi Xu. (2012). Solving optimal power flow problems subject to distributed generator failures via particle swarm intelligence. 418–423. 6 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.

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