Jinglu Hu

3.9k total citations
294 papers, 2.6k citations indexed

About

Jinglu Hu is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jinglu Hu has authored 294 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 204 papers in Artificial Intelligence, 99 papers in Control and Systems Engineering and 65 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jinglu Hu's work include Neural Networks and Applications (92 papers), Evolutionary Algorithms and Applications (54 papers) and Metaheuristic Optimization Algorithms Research (51 papers). Jinglu Hu is often cited by papers focused on Neural Networks and Applications (92 papers), Evolutionary Algorithms and Applications (54 papers) and Metaheuristic Optimization Algorithms Research (51 papers). Jinglu Hu collaborates with scholars based in Japan, China and United States. Jinglu Hu's co-authors include Kotaro Hirasawa, Shingo Mabu, Jun Zhang, Junichi Murata, Kaoru Shimada, Haixiang Guo, Toru EGUCHI, Kousuke Kumamaru, Yu‐Ling Lin and Hideki Katagiri and has published in prestigious journals such as Automatica, Journal of Controlled Release and Expert Systems with Applications.

In The Last Decade

Jinglu Hu

264 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jinglu Hu Japan 22 1.5k 588 426 305 277 294 2.6k
Kotaro Hirasawa Japan 25 2.0k 1.3× 926 1.6× 206 0.5× 388 1.3× 531 1.9× 436 3.2k
Luis Magdalena Spain 25 2.6k 1.7× 476 0.8× 377 0.9× 248 0.8× 477 1.7× 93 3.6k
Thomas A. Runkler Germany 24 1.4k 0.9× 307 0.5× 418 1.0× 273 0.9× 339 1.2× 132 2.6k
Guojie Song China 25 1.2k 0.8× 499 0.8× 311 0.7× 576 1.9× 181 0.7× 106 3.7k
Ahamad Tajudin Khader Malaysia 25 1.7k 1.1× 267 0.5× 484 1.1× 334 1.1× 195 0.7× 66 3.0k
Ahamad Tajudin Khader Malaysia 27 756 0.5× 328 0.6× 205 0.5× 199 0.7× 352 1.3× 65 2.1k
Detlef Nauck United Kingdom 20 1.5k 1.0× 320 0.5× 191 0.4× 262 0.9× 227 0.8× 66 2.3k
Mahardhika Pratama Singapore 30 2.0k 1.3× 581 1.0× 352 0.8× 174 0.6× 256 0.9× 157 3.0k
Shingo Mabu Japan 22 1.2k 0.8× 343 0.6× 167 0.4× 235 0.8× 450 1.6× 310 2.1k
Changjing Shang United Kingdom 26 889 0.6× 361 0.6× 492 1.2× 202 0.7× 162 0.6× 162 2.2k

Countries citing papers authored by Jinglu Hu

Since Specialization
Citations

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

Fields of papers citing papers by Jinglu Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinglu Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Jinglu Hu. A scholar is included among the top collaborators of Jinglu Hu 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 Jinglu Hu. Jinglu Hu 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.
Hu, Jinglu, et al.. (2024). SSE4Rec: Sequential recommendation with subsequence extraction. Knowledge-Based Systems. 285. 111364–111364. 9 indexed citations
2.
Hu, Jinglu, et al.. (2024). Wind Speed Modeling under Quasi‐Linear Autoregressive Neural Network Model for Prediction of Production Power. IEEJ Transactions on Electrical and Electronic Engineering. 20(2). 217–225.
3.
Zhang, Qieshi, et al.. (2019). Multi-Scale Dilated Convolution Network Based Depth Estimation in Intelligent Transportation Systems. IEEE Access. 7. 185179–185188. 12 indexed citations
4.
Hu, Jinglu, et al.. (2012). Neural predictive controller of nonlinear systems based on quasi-ARX neural network. 1–6. 7 indexed citations
5.
Wang, Lan, et al.. (2011). Multivariable self-tuning control for nonlinear MIMO system using quasi-ARX RBFN model. Chinese Control Conference. 3772–3776. 1 indexed citations
6.
Hu, Jinglu, et al.. (2009). Interesting rules mining with deductive method. 2009 ICCAS-SICE. 142–146. 1 indexed citations
7.
Wang, Qiangwei, Boyang Li, & Jinglu Hu. (2008). Human Resource Selection Based on Performance Classification Using Weighted Support Vector Machine. 2008. 1837–1842. 1 indexed citations
8.
Shi, Xin, Jinglu Hu, Kotaro Hirasawa, & Kousuke Kumamaru. (2006). An Improvement of Quasi-ARX Modeling Scheme for Nonlinear Systems Using PCA Network. Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications. 2006(0). 83–88.
9.
Hussein, Ahmed, Kotaro Hirasawa, & Jinglu Hu. (2003). Online Identification And Control of A PV-Supplied DC Motor Using Universal Learning Networks. The European Symposium on Artificial Neural Networks. 173–178. 8 indexed citations
10.
Hussein, Ahmed, Jinglu Hu, Kotaro Hirasawa, & Junichi Murata. (2002). NEURAL NETWORK SPEED CONTROLLER OF A DC MOTOR SUPPLIED FROM PHOTOVOLTAIC GENERATOR VIA DC-DC BUCK-BOOST CONVERTER. Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications. 2002(0). 111–116. 2 indexed citations
11.
Hirasawa, Kotaro, et al.. (2002). Increasing robustness of genetic algorithm. Genetic and Evolutionary Computation Conference. 456–462.
12.
Hirasawa, Kotaro, et al.. (2002). A new model to realize variable size Genetic Network Programming. Genetic and Evolutionary Computation Conference. 890–890. 1 indexed citations
13.
Hirasawa, Kotaro, et al.. (2001). Genetic symbiosis algorithm for multiobjective optimization problems. Genetic and Evolutionary Computation Conference. 771–771. 4 indexed citations
14.
Hu, Jinglu, et al.. (2001). Nonlinear model predictive control utilizing a neuro-fuzzy predictor. Kyushu University Institutional Repository (QIR) (Kyushu University). 6(1). 39–44. 2 indexed citations
15.
Hu, Jinglu, et al.. (2000). Adaptive Random Search Approach to Identification of Neural Network Model. Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications. 2000(0). 73–78. 7 indexed citations
16.
Kumamaru, Kousuke, et al.. (2000). A Fault Detection Method for Nonlinear Black-Box Systems Based on Multi-ARMAX Modeling. Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications. 2000(0). 67–72. 3 indexed citations
17.
Chen, Xiufang, Kotaro Hirasawa, Jinglu Hu, & Junichi Murata. (2000). Minimax control of nonlinear systems using Universal Learning Networks. Kyushu University Institutional Repository (QIR) (Kyushu University). 5(1). 51–56.
18.
Hu, Jinglu, Kousuke Kumamaru, Katsuhiro Inoue, & Kotaro Hirasawa. (1998). KDI-Based Robust Fault Detection Scheme for Nearly Linear Systems. Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications. 1998(0). 13–18. 1 indexed citations
19.
Hu, Jinglu, Kotaro Hirasawa, & Kousuke Kumamaru. (1998). Fuzzy Models Embedding STR Controller for Nonlinear Stochastic Systems. Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications. 1998(0). 51–56. 1 indexed citations
20.
Kumamaru, Kousuke, et al.. (1995). Fault Detection via KDI in Presence of Unmodelled Uncertainty. Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications. 1995(0). 173–178. 3 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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