Jia Wu

2.7k total citations · 1 hit paper
58 papers, 2.0k citations indexed

About

Jia Wu is a scholar working on Artificial Intelligence, Control and Systems Engineering and Automotive Engineering. According to data from OpenAlex, Jia Wu has authored 58 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 21 papers in Control and Systems Engineering and 12 papers in Automotive Engineering. Recurrent topics in Jia Wu's work include Traffic control and management (20 papers), Autonomous Vehicle Technology and Safety (12 papers) and Traffic Prediction and Management Techniques (11 papers). Jia Wu is often cited by papers focused on Traffic control and management (20 papers), Autonomous Vehicle Technology and Safety (12 papers) and Traffic Prediction and Management Techniques (11 papers). Jia Wu collaborates with scholars based in China, France and United States. Jia Wu's co-authors include Hang Lei, Sihao Deng, Hao Zhang, Abdeljalil Abbas‐Turki, Abdellah El Moudni, Fei Yan, Mark Brackstone, M. McDonald, Samuel R. A. Collins and Keith W. Waldron and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Jia Wu

53 papers receiving 1.9k citations

Hit Papers

Hyperparameter Optimization for Machine Learning Models B... 2019 2026 2021 2023 2019 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jia Wu China 16 472 465 302 280 227 58 2.0k
Saiedeh Razavi Canada 20 593 1.3× 788 1.7× 387 1.3× 477 1.7× 364 1.6× 76 2.8k
Huafeng Wu China 28 305 0.6× 262 0.6× 593 2.0× 119 0.4× 145 0.6× 150 2.5k
Douglas Creighton Australia 24 578 1.2× 378 0.8× 314 1.0× 100 0.4× 103 0.5× 97 2.5k
Lawrence A. Klein United States 12 286 0.6× 261 0.6× 219 0.7× 121 0.4× 145 0.6× 37 1.3k
Yonggang Wang China 27 165 0.3× 315 0.7× 428 1.4× 159 0.6× 408 1.8× 204 2.6k
Pan Lu United States 23 471 1.0× 198 0.4× 126 0.4× 234 0.8× 231 1.0× 119 2.1k
Xuebo Jin China 25 526 1.1× 388 0.8× 336 1.1× 95 0.3× 50 0.2× 76 2.1k
Hongjie Liu China 25 159 0.3× 214 0.5× 395 1.3× 163 0.6× 186 0.8× 209 2.3k
Jianlei Kong China 26 500 1.1× 300 0.6× 325 1.1× 90 0.3× 49 0.2× 90 2.3k

Countries citing papers authored by Jia Wu

Since Specialization
Citations

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

Fields of papers citing papers by Jia Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jia Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Jia Wu. A scholar is included among the top collaborators of Jia Wu 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 Jia Wu. Jia Wu 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.
Wu, Jia, et al.. (2025). Research on vertical strategy for left turn at signal-free T-shaped intersections based on multi-layer reinforcement learning methods. Green Energy and Intelligent Transportation. 4(5). 100261–100261. 1 indexed citations
2.
Wu, Jia, et al.. (2025). Continuous–Discrete Alignment Optimization for efficient differentiable neural architecture search. Engineering Applications of Artificial Intelligence. 153. 110721–110721.
3.
Fan, Jin, et al.. (2025). Path-aware multi-scale learning for heterogeneous graph neural network. Neural Networks. 191. 107743–107743. 1 indexed citations
4.
Wu, Jia, et al.. (2024). Denoise method for Reflection Matrix Optical Coherence Tomography. Optics Communications. 569. 130746–130746.
6.
Wu, Jia, et al.. (2024). Contrastive meta-reinforcement learning for heterogeneous graph neural architecture search. Expert Systems with Applications. 260. 125433–125433. 3 indexed citations
7.
Wu, Jia, et al.. (2023). CenLight: Centralized traffic grid signal optimization via action and state decomposition. IET Intelligent Transport Systems. 17(6). 1247–1261. 2 indexed citations
8.
Liu, Xiyuan, et al.. (2023). Efficient hyperparameters optimization through model-based reinforcement learning with experience exploiting and meta-learning. Soft Computing. 27(13). 8661–8678. 8 indexed citations
9.
Wu, Jia, et al.. (2023). How predictors affect the RL-based search strategy in Neural Architecture Search?. Expert Systems with Applications. 238. 121742–121742. 3 indexed citations
10.
Lin, Xixun, Chuan Zhou, Jia Wu, et al.. (2022). Exploratory Adversarial Attacks on Graph Neural Networks for Semi-Supervised Node Classification. Pattern Recognition. 133. 109042–109042. 43 indexed citations
11.
Wu, Jia, et al.. (2022). A Spatial-Temporal Deep Reinforcement Learning Model for Large-Scale Centralized Traffic Signal Control. 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC). 275–280. 3 indexed citations
12.
Wu, Jia, et al.. (2019). Hyperparameter Optimization for Machine Learning Models Based on Bayesian Optimization. SHILAP Revista de lepidopterología. 17(1). 26–40. 1049 indexed citations breakdown →
13.
Wu, Jia, et al.. (2019). Hierarchical Regional Control for Traffic Grid Signal Optimization. 3547–3552. 3 indexed citations
14.
Wu, Jia, Adam Elliston, Gwénaëlle Le Gall, et al.. (2018). Optimising conditions for bioethanol production from rice husk and rice straw: effects of pre-treatment on liquor composition and fermentation inhibitors. Biotechnology for Biofuels. 11(1). 62–62. 59 indexed citations
15.
Wu, Jia, Samuel R. A. Collins, Adam Elliston, et al.. (2018). Release of cell wall phenolic esters during hydrothermal pretreatment of rice husk and rice straw. Biotechnology for Biofuels. 11(1). 162–162. 31 indexed citations
16.
Wu, Jia, Fei Yan, & Jianxing Liu. (2018). Effectiveness Proving and Control of Platoon-Based Vehicular Cyber-Physical Systems. IEEE Access. 6. 21140–21151. 11 indexed citations
17.
Wu, Jia, Adam Elliston, Gwénaëlle Le Gall, et al.. (2017). Yeast diversity in relation to the production of fuels and chemicals. Scientific Reports. 7(1). 14259–14259. 15 indexed citations
18.
Abbas‐Turki, Abdeljalil, et al.. (2012). Using Robots for Prototyping Autonomous Intersection Management: Feasibility and Feedbacks. IFAC Proceedings Volumes. 45(4). 308–313. 4 indexed citations
19.
Wu, Jia. (2004). The Prime Middle Ideals of Normal Fuzzy Lattices. Mohu xitong yu shuxue. 1 indexed citations
20.
McDonald, M., Jia Wu, & Mark Brackstone. (2002). Development of a fuzzy logic based microscopic motorway simulation model. ePrints Soton (University of Southampton). 54 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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