Di Wu

5.1k total citations · 2 hit papers
124 papers, 3.6k citations indexed

About

Di Wu is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Automotive Engineering. According to data from OpenAlex, Di Wu has authored 124 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 98 papers in Electrical and Electronic Engineering, 46 papers in Control and Systems Engineering and 29 papers in Automotive Engineering. Recurrent topics in Di Wu's work include Smart Grid Energy Management (49 papers), Microgrid Control and Optimization (36 papers) and Advanced Battery Technologies Research (28 papers). Di Wu is often cited by papers focused on Smart Grid Energy Management (49 papers), Microgrid Control and Optimization (36 papers) and Advanced Battery Technologies Research (28 papers). Di Wu collaborates with scholars based in United States, China and Sweden. Di Wu's co-authors include Tao Yang, Dionysios Aliprantis, Karl Henrik Johansson, Junfeng Wu, Lei Ying, Ziyang Meng, Patrick Balducci, Konstantina Gkritza, Michael Kintner‐Meyer and Jianming Lian and has published in prestigious journals such as SHILAP Revista de lepidopterología, Energy & Environmental Science and IEEE Transactions on Automatic Control.

In The Last Decade

Di Wu

114 papers receiving 3.5k 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.

A survey of distributed optimization

2019 562 citations Tao Yang, Di Wu et al. profile →
Digital Twin Technology in Transportation Infrastructure: A Comprehensive Survey of Current Applications, Challenges, and Future Directions

2025 18 citations Di Wu et al. profile →

Peers

Countries citing papers authored by Di Wu

Since Specialization

Citations

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

Fields of papers citing papers by Di Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Di Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Di Wu. A scholar is included among the top collaborators of Di 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 Di Wu. Di Wu 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

#	Work	Indexed citations
1	Decoding developments and novel research pathways in e-commerce and livestreaming commerce through the lens of the technology acceptance theory: a bibliometric analysis 2025 ·Di Wu, (unknown), Syed Shah Alam, (unknown)	0
2	Energy storage planning for enhanced resilience of power systems against wildfires and heatwaves 2025 ·Journal of Energy Storage ·(unknown), Patrick Maloney, Saptarshi Bhattacharya, Jesse Holzer, (unknown), Xinda Ke, (unknown), Casey Burleyson, (unknown), (unknown), Di Wu	2
3	Study on Lacticaseibacillus casei TCS fermentation kinetic models and high-density culture strategy 2025 ·Microbiology Spectrum ·Chen Chen, Tingting Guo, Di Wu, (unknown), (unknown), Huaixiang Tian, Haiyan Yu, Chang Ge	2
4	Deep Reinforcement Learning-Based Control of Energy Storage for Interarea Oscillation Damping 2025 ·IEEE Transactions on Industrial Informatics ·(unknown), Rui Fan, Di Wu	0
5	Economic optimal power management of second-life battery energy storage systems 2025 ·Journal of Energy Storage ·Amir Farakhor, Di Wu, Pingen Chen, Junmin Wang, Yebin Wang, Huazhen Fang	1
6	Leveraging Structures in Fault Diagnosis for Lithium-Ion Battery Packs 2024 ·Amir Farakhor, Di Wu, Yebin Wang, Huazhen Fang	0
7	An iterative bidirectional gradient boosting approach for CVR baseline estimation 2024 ·Applied Energy ·(unknown), Yiyan Li, (unknown), Di Wu, Ning Lü	1
8	Paired Hydro-Battery Hybrid System Operations Using MIQP Based Multi-Objective Optimization 2024 ·(unknown), Xu Ma, Ryan A. Harnish, Abhishek Somani, Di Wu, Dhruv Bhatnagar, (unknown), (unknown)	0
9	Stochastic scheduling for commercial building cooling systems: considering uncertainty in zone temperature prediction 2023 ·Applied Energy ·(unknown), Sen Huang, Xu Ma, Srinivas Katipamula, Di Wu, (unknown)	7
10	Rapid identification and quantification of vegetable oil adulteration in raw milk using a flash gas chromatography electronic nose combined with machine learning 2023 ·Food Control ·Huaixiang Tian, Di Wu, Bin Chen, Haibin Yuan, Haiyan Yu, Xinman Lou, Chen Chen	35
11	Energy Storage State-of-Charge Market Model 2023 ·(unknown), (unknown), Di Wu, (unknown), Bolun Xu	18
12	An Iterative Bidirectional Gradient Boosting Algorithm for CVR Baseline Estimation 2023 ·OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) ·(unknown), (unknown), Yiyan Li, Ning Lü, Di Wu, (unknown), (unknown), (unknown)	5
13	Design Considerations of a Coordinative Demand Charge Mitigation Strategy 2023 ·OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) ·(unknown), Kai Ye, Hyeonjin Kim, (unknown), Ning Lü, Di Wu, (unknown)	1
14	An ICA-Based HVAC Load Disaggregation Method Using Smart Meter Data 2023 ·OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) ·Hyeonjin Kim, Kai Ye, (unknown), (unknown), Ning Lü, Di Wu, (unknown)	4
15	Deep Reinforcement Learning From Demonstrations to Assist Service Restoration in Islanded Microgrids 2022 ·IEEE Transactions on Sustainable Energy ·Yan Du, Di Wu	76
16	Deep Learning-Based Hybrid Precoding for FDD Massive MIMO-OFDM Systems with a Limited Pilot and Feedback Overhead 2022 ·2022 IEEE International Conference on Communications Workshops (ICC Workshops) ·(unknown), Zhen Gao, (unknown), Di Wu, Yang Yang, Yang Huang	4
17	Rahnella sp. LRP3 induces phosphate precipitation of Cu (II) and its role in copper-contaminated soil remediation 2019 ·Journal of Hazardous Materials ·Xingmin Zhao, (unknown), (unknown), Zhe Li, Xiufang Zhang, Shujie Zhao, Mingtang Li, Di Wu	57
18	Synchronization of Coupled Dynamical Systems: Tolerance to Weak Connectivity and Arbitrarily Bounded Time-Varying Delays 2017 ·IEEE Transactions on Automatic Control ·Ziyang Meng, Tao Yang, Guoqi Li, Wei Ren, Di Wu	37
19	Vulnerability of the US western electric grid to hydro-climatological conditions: How bad can it get? 2016 ·Energy ·Nathalie Voisin, Michael Kintner‐Meyer, Richard L. Skaggs, Tony Nguyen, Di Wu, J.A. Dirks, YuLong Xie, Mohamad Hejazi	66
20	Economic analysis and optimal sizing for behind-the-meter battery storage 2016 ·Di Wu, Michael Kintner‐Meyer, Tao Yang, Patrick Balducci	54

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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