Jincai Huang

1.5k total citations · 1 hit paper
60 papers, 848 citations indexed

About

Jincai Huang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Jincai Huang has authored 60 papers receiving a total of 848 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 10 papers in Information Systems. Recurrent topics in Jincai Huang's work include Machine Learning and Data Classification (5 papers), Service-Oriented Architecture and Web Services (5 papers) and Human-Automation Interaction and Safety (4 papers). Jincai Huang is often cited by papers focused on Machine Learning and Data Classification (5 papers), Service-Oriented Architecture and Web Services (5 papers) and Human-Automation Interaction and Safety (4 papers). Jincai Huang collaborates with scholars based in China, Sweden and Austria. Jincai Huang's co-authors include Sen Wang, Dawei Zhao, Qiguang Miao, Xingxing Liang, Xin Xu, Xu Wang, Bin Dai, Zhong Liu, Qi Wang and Zhong Liu and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Access.

In The Last Decade

Jincai Huang

49 papers receiving 815 citations

Hit Papers

align trajectories

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.

Deep Reinforcement Learning: A Survey

2022 340 citations Xu Wang, Sen Wang et al. IEEE Transactions on Neural Networks and Learning Systems profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jincai Huang China	13	278	142	137	122	91	60	848
Yilin Chen China	17	223 0.8×	249 1.8×	141 1.0×	100 0.8×	133 1.5×	38	953
Miren Nekane Bilbao Spain	12	365 1.3×	80 0.6×	153 1.1×	105 0.9×	106 1.2×	35	774
H M Dipu Kabir Australia	14	288 1.0×	115 0.8×	184 1.3×	148 1.2×	92 1.0×	66	911
Baoqun Yin China	11	399 1.4×	172 1.2×	169 1.2×	142 1.2×	98 1.1×	89	872
Camelia Chira Romania	16	260 0.9×	178 1.3×	51 0.4×	89 0.7×	56 0.6×	78	810
Jingjing Li China	13	507 1.8×	139 1.0×	141 1.0×	186 1.5×	124 1.4×	54	1.1k
Jacek Mańdziuk Poland	18	549 2.0×	178 1.3×	101 0.7×	81 0.7×	60 0.7×	103	1.1k
Tao Zhu China	17	342 1.2×	222 1.6×	213 1.6×	129 1.1×	112 1.2×	90	936
Nan Han China	16	163 0.6×	127 0.9×	68 0.5×	88 0.7×	81 0.9×	41	792
Longbiao Chen China	14	172 0.6×	210 1.5×	113 0.8×	127 1.0×	67 0.7×	69	967

Countries citing papers authored by Jincai Huang

Since Specialization

Citations

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

Fields of papers citing papers by Jincai Huang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jincai Huang

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Wang, Min, Hao Yang, Jincai Huang, & Qing Cheng. (2024). Moderate Message Passing Improves Calibration: A Universal Way to Mitigate Confidence Bias in Graph Neural Networks. Proceedings of the AAAI Conference on Artificial Intelligence. 38(19). 21681–21689. 2 indexed citations

2.

Liao, Haoran, Wei Liu, Changjun Fan, et al.. (2024). Hyperparameter optimization: Classics, acceleration, online, multi-objective, and tools. Mathematical Biosciences & Engineering. 21(6). 6289–6335. 5 indexed citations

3.

Huang, Honglan, Yanghe Feng, Chaoyue Niu, et al.. (2023). Active Client Selection for Clustered Federated Learning. IEEE Transactions on Neural Networks and Learning Systems. 35(11). 16424–16438. 30 indexed citations

4.

Wang, Xu, Sen Wang, Xingxing Liang, et al.. (2022). Deep Reinforcement Learning: A Survey. IEEE Transactions on Neural Networks and Learning Systems. 35(4). 5064–5078. 340 indexed citations breakdown →

5.

Feng, Yanghe, et al.. (2021). Human–Computer Interaction Cognitive Behavior Modeling of Command and Control Systems. IEEE Internet of Things Journal. 9(14). 12723–12736. 6 indexed citations

6.

Feng, Yanghe, et al.. (2021). Efficient hierarchical policy network with fuzzy rules. International Journal of Machine Learning and Cybernetics. 13(2). 447–459. 3 indexed citations

7.

Fan, Changjun, et al.. (2020). A novel learning-based approach for efficient dismantling of networks. International Journal of Machine Learning and Cybernetics. 11(9). 2101–2111. 13 indexed citations

8.

Huang, Honglan, et al.. (2019). A Reinforcement One-Shot Active Learning Approach for Aircraft Type Recognition. IEEE Access. 7. 147204–147214. 5 indexed citations

9.

Yang, Guoli, et al.. (2019). Identification of influential invaders in evolutionary populations. Scientific Reports. 9(1). 7305–7305. 30 indexed citations

10.

Jin, Guangyin, et al.. (2019). Crime-GAN: A Context-based Sequence Generative Network for Crime Forecasting with Adversarial Loss. 1460–1469. 9 indexed citations

11.

Huang, Jincai, et al.. (2018). Route Planning for Military Ground Vehicles in Road Networks under Uncertain Battlefield Environment. Journal of Advanced Transportation. 2018. 1–10. 8 indexed citations

12.

Wang, Qi, et al.. (2017). A Novel Ensemble Method for Imbalanced Data Learning: Bagging of Extrapolation-SMOTE SVM. Computational Intelligence and Neuroscience. 2017. 1–11. 107 indexed citations

13.

Wang, Qi, et al.. (2017). A novel framework for the identification of drug target proteins: Combining stacked auto-encoders with a biased support vector machine. PLoS ONE. 12(4). e0176486–e0176486. 28 indexed citations

14.

Huang, Jincai. (2012). Design and Analysis of the Measure of C2 Organizational Effectiveness. Fire Control and Command Control.

15.

Liu, Zhong, et al.. (2012). Improving the optimization performance of NSGA-II algorithm by experiment design methods. 82–85. 6 indexed citations

16.

Huang, Jincai. (2011). Web Service Composition Systems Survey.

17.

Huang, Jincai. (2009). Research on Modeling and Generation of Operational Plan based on Hierarchical Task-network. Fire Control and Command Control.

18.

Huang, Jincai, et al.. (2006). Research on Parallel Decision Analyzing for Complex System of Systems. 1812–1817. 1 indexed citations

19.

Huang, Jincai. (2005). Research of Parallel Decision in Complex Environment. Jisuanji gongcheng. 1 indexed citations

20.

Zhu, Cheng, et al.. (2004). An Efficient Decentralized Grid Service Discovery Approach based on Service Ontology. 570–573. 5 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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