Jingda Wu

3.9k citations

70 papers · 2.7k · 1 hit paper · h-index 23

Impact in

Automotive Engineering top 0.2%
- Electric and Hybrid Vehicle Technologies
- Advanced Battery Technologies Research
- Autonomous Vehicle Technology and Safety
- Vehicle emissions and performance
Control and Systems Engineering top 1%
- Traffic control and management

Papers in

Automotive Engineering 57
- Electric and Hybrid Vehicle Technologies 30
- Advanced Battery Technologies Research 21
- Autonomous Vehicle Technology and Safety 21
- Vehicle emissions and performance 8
Electrical and Electronic Engineering 36
- Electric Vehicles and Infrastructure 30
- Fuel Cells and Related Materials 8

Co-authors: Chen Lv (25 shared papers)Zhiyu Huang (17 shared papers)Hongwen He (16 shared papers)Jiankun Peng (9 shared papers)Yuecheng Li (4 shared papers)Zhongbao Wei (7 shared papers)Yunwei Li (2 shared papers)Zhanjiang Li (2 shared papers)
Journals: Energy (6 papers)IEEE Transactions on Transportation Electrification (6 papers)IEEE Transactions on Intelligent Transportation Systems (5 papers)Applied Energy (4 papers)IEEE Transactions on Neural Networks and Learning Systems (4 papers)
Partner nations: China Singapore Hong Kong

In The Last Decade

Jingda Wu

64 papers receiving 2.6k citations

Jingda Wu's Hit Papers

align trajectories log scale

Human-Guided Continual Learning for Personalized Decision-Making of Autonomous Driving 2025 · 16 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2025 IEEE Transactions on Intelligent Transportation Systems

Peers

Countries citing papers authored by Jingda Wu

Since Specialization

Citations

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

Fields of papers citing papers by Jingda Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jingda Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jingda Wu Line = papers co-authored together Jingda Wu links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Continuous reinforcement learning of energy management with deep Q network for a power split hybrid electric bus Applied Energy ·Jingda Wu, Hongwen He, Jiankun Peng, Yuecheng Li, Zhanjiang Li	2018	343
2	Battery Thermal- and Health-Constrained Energy Management for Hybrid Electric Bus Based on Soft Actor-Critic DRL Algorithm IEEE Transactions on Industrial Informatics ·Jingda Wu, Zhongbao Wei, Weihan Li, Yu Wang, Yunwei Li, Dirk Uwe Sauer	2020	255
3	Energy management based on reinforcement learning with double deep Q-learning for a hybrid electric tracked vehicle Applied Energy ·Xuefeng Han, Hongwen He, Jingda Wu, Jiankun Peng, Yuecheng Li	2019	211
4	Deep Deterministic Policy Gradient-DRL Enabled Multiphysics-Constrained Fast Charging of Lithium-Ion Battery IEEE Transactions on Industrial Electronics ·Zhongbao Wei, Zhongyi Quan, Jingda Wu, Yang Li, Josep Pou, Hao Zhong	2021	187
5	Battery-Involved Energy Management for Hybrid Electric Bus Based on Expert-Assistance Deep Deterministic Policy Gradient Algorithm IEEE Transactions on Vehicular Technology ·Jingda Wu, Zhongbao Wei, Kailong Liu, Zhongyi Quan, Yunwei Li	2020	155
6	Driving Behavior Modeling Using Naturalistic Human Driving Data With Inverse Reinforcement Learning IEEE Transactions on Intelligent Transportation Systems ·Zhiyu Huang, Jingda Wu, Chen Lv	2021	150
7	Efficient Deep Reinforcement Learning With Imitative Expert Priors for Autonomous Driving IEEE Transactions on Neural Networks and Learning Systems ·Zhiyu Huang, Jingda Wu, Chen Lv	2022	122
8	Multi-Modal Sensor Fusion-Based Deep Neural Network for End-to-End Autonomous Driving With Scene Understanding IEEE Sensors Journal ·Zhiyu Huang, Chen Lv, Yang Xing, Jingda Wu	2020	120
9	Toward Human-in-the-Loop AI: Enhancing Deep Reinforcement Learning via Real-Time Human Guidance for Autonomous Driving Engineering ·Jingda Wu, Zhiyu Huang, Zhongxu Hu, Chen Lv	2022	98
10	Uncertainty-Aware Model-Based Reinforcement Learning: Methodology and Application in Autonomous Driving IEEE Transactions on Intelligent Vehicles ·Jingda Wu, Zhiyu Huang, Chen Lv	2022	83
11	Personalized Trajectory Planning and Control of Lane-Change Maneuvers for Autonomous Driving IEEE Transactions on Vehicular Technology ·Chao Huang, Hailong Huang, Peng Hang, Hongbo Gao, Jingda Wu, Zhiyu Huang, Chen Lv	2021	82
12	Prioritized Experience-Based Reinforcement Learning With Human Guidance for Autonomous Driving IEEE Transactions on Neural Networks and Learning Systems ·Jingda Wu, Zhiyu Huang, Wenhui Huang, Chen Lv	2022	77
13	Differentiable Integrated Motion Prediction and Planning With Learnable Cost Function for Autonomous Driving IEEE Transactions on Neural Networks and Learning Systems ·Zhiyu Huang, Haochen Liu, Jingda Wu, Chen Lv	2023	60
14	Conditional Predictive Behavior Planning With Inverse Reinforcement Learning for Human-Like Autonomous Driving IEEE Transactions on Intelligent Transportation Systems ·Zhiyu Huang, Haochen Liu, Jingda Wu, Chen Lv	2023	60
15	Improved Deep Reinforcement Learning with Expert Demonstrations for Urban Autonomous Driving 2022 IEEE Intelligent Vehicles Symposium (IV) ·Haochen Liu, Zhiyu Huang, Jingda Wu, Chen Lv	2022	56
16	Real-Time Driver Cognitive Workload Recognition: Attention-Enabled Learning With Multimodal Information Fusion IEEE Transactions on Industrial Electronics ·Haohan Yang, Jingda Wu, Zhongxu Hu, Chen Lv	2023	49
17	Human-Guided Reinforcement Learning With Sim-to-Real Transfer for Autonomous Navigation IEEE Transactions on Pattern Analysis and Machine Intelligence ·Jingda Wu, Yanxin Zhou, Haohan Yang, Zhiyu Huang, Chen Lv	2023	49
18	Deep Reinforcement Learning-Based Energy-Efficient Decision-Making for Autonomous Electric Vehicle in Dynamic Traffic Environments IEEE Transactions on Transportation Electrification ·Jingda Wu, Ziyou Song, Chen Lv	2023	42
19	Fear-Neuro-Inspired Reinforcement Learning for Safe Autonomous Driving IEEE Transactions on Pattern Analysis and Machine Intelligence ·Xiangkun He, Jingda Wu, Zhiyu Huang, Zhongxu Hu, Jun Wang, Alberto Sangiovanni‐Vincentelli, Chen Lv	2023	41
20	Multiple learning neural network algorithm for parameter estimation of proton exchange membrane fuel cell models Green Energy and Intelligent Transportation ·Yiying Zhang, Chao Huang, Hailong Huang, Jingda Wu	2022	41

About Jingda Wu

Jingda Wu is a scholar working on Automotive Engineering, Electrical and Electronic Engineering, Control and Systems Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 70 papers that have together received 2.7k indexed citations. Recurring topics across this work include Electric Vehicles and Infrastructure (30 papers), Electric and Hybrid Vehicle Technologies (30 papers), Advanced Battery Technologies Research (21 papers), Autonomous Vehicle Technology and Safety (21 papers), Traffic control and management (16 papers), Reinforcement Learning in Robotics (13 papers), Vehicle emissions and performance (8 papers) and Fuel Cells and Related Materials (8 papers). The work is most often cited by research in Automotive Engineering (1.9k citations), Control and Systems Engineering (705 citations), Electrical and Electronic Engineering (1.3k citations), Computer Vision and Pattern Recognition (312 citations) and Safety, Risk, Reliability and Quality (121 citations). Jingda Wu has collaborated with scholars based in China, Singapore and Hong Kong. Frequent co-authors include Chen Lv, Zhiyu Huang, Hongwen He, Jiankun Peng, Yuecheng Li, Zhongbao Wei, Yunwei Li, Zhanjiang Li, Zhongyi Quan and Zhongxu Hu. Their work appears in journals such as Energy, IEEE Transactions on Transportation Electrification, IEEE Transactions on Intelligent Transportation Systems, Applied Energy and IEEE Transactions on Neural Networks and Learning Systems.

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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Jingda Wu's Hit Papers

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All Works

About Jingda Wu

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