Maoqiang Wu

1.5k total citations · 1 hit paper
34 papers, 1.1k citations indexed

About

Maoqiang Wu is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Molecular Biology. According to data from OpenAlex, Maoqiang Wu has authored 34 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 10 papers in Electrical and Electronic Engineering and 7 papers in Molecular Biology. Recurrent topics in Maoqiang Wu's work include Privacy-Preserving Technologies in Data (13 papers), Advanced biosensing and bioanalysis techniques (7 papers) and Mobile Crowdsensing and Crowdsourcing (6 papers). Maoqiang Wu is often cited by papers focused on Privacy-Preserving Technologies in Data (13 papers), Advanced biosensing and bioanalysis techniques (7 papers) and Mobile Crowdsensing and Crowdsourcing (6 papers). Maoqiang Wu collaborates with scholars based in China, United States and Macao. Maoqiang Wu's co-authors include Rong Yu, Jiawen Kang, Xumin Huang, Shengli Xie, Sabita Maharjan, Yan Zhang, Dongdong Ye, Miao Pan, Duanping Sun and Jiahao Ding and has published in prestigious journals such as SHILAP Revista de lepidopterología, Analytical Chemistry and Food Chemistry.

In The Last Decade

Maoqiang Wu

31 papers receiving 1.1k citations

Hit Papers

Blockchain for Secure and... 2018 2026 2020 2023 2018 200 400 600
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.

  1. Blockchain for Secure and Efficient Data Sharing in Vehicular Edge Computing and Networks
    2018 605 citations Jiawen Kang, Rong Yu et al. IEEE Internet of Things Journal profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maoqiang Wu China 12 556 444 440 337 99 34 1.1k
Jia-Nan Liu China 16 511 0.9× 451 1.0× 225 0.5× 186 0.6× 54 0.5× 31 1.1k
Rahul Saha India 23 700 1.3× 415 0.9× 782 1.8× 254 0.8× 56 0.6× 86 1.4k
Ke Xiao China 18 450 0.8× 400 0.9× 370 0.8× 368 1.1× 9 0.1× 87 1.1k
Jingjing Guo China 17 330 0.6× 452 1.0× 463 1.1× 450 1.3× 8 0.1× 56 1.2k
Peng Yang China 18 273 0.5× 311 0.7× 361 0.8× 237 0.7× 111 1.1× 91 1.2k
Yossi Gilad Israel 18 806 1.4× 612 1.4× 890 2.0× 116 0.3× 85 0.9× 29 1.4k
Kai Jiang China 19 157 0.3× 103 0.2× 447 1.0× 322 1.0× 80 0.8× 71 1.1k
Shiqing Ma United States 26 545 1.0× 1.7k 3.7× 699 1.6× 180 0.5× 31 0.3× 61 2.5k
Chenmeng Wang China 12 305 0.5× 295 0.7× 1.5k 3.3× 716 2.1× 17 0.2× 19 1.7k
Zhaobin Liu China 15 267 0.5× 153 0.3× 262 0.6× 54 0.2× 36 0.4× 75 675

Countries citing papers authored by Maoqiang Wu

Since Specialization
Citations

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

Fields of papers citing papers by Maoqiang Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maoqiang Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Maoqiang Wu. A scholar is included among the top collaborators of Maoqiang 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 Maoqiang Wu. Maoqiang 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.
Zhang, Zirui, Siming Wang, Dongdong Ye, et al.. (2025). Leveraging LLMs in Cloud–Edge Networks for Traffic Risk Prediction and Accident Severity Analysis. IEEE Transactions on Network Science and Engineering. 13. 438–453. 1 indexed citations
2.
Li, Chunhai, et al.. (2025). Digital twin assisted multi‐task offloading for vehicular edge computing under SAGIN with blockchain. IET Communications. 19(1). 1 indexed citations
3.
4.
Wang, Fei, et al.. (2025). LLM-Based Misbehavior Detection Architecture for Enhanced Traffic Safety in Connected Autonomous Vehicles. IEEE Transactions on Vehicular Technology. 74(8). 12829–12841. 2 indexed citations
5.
Huang, Jinglin, et al.. (2025). Large language model based system with causal inference and Chain-of-Thoughts reasoning for traffic scene risk assessment. Knowledge-Based Systems. 319. 113630–113630. 1 indexed citations
6.
Wu, Maoqiang, et al.. (2024). Digital-Twin-Assisted Safety Control for Connected Automated Vehicles in Mixed-Autonomy Traffic. IEEE Internet of Things Journal. 12(1). 472–487. 3 indexed citations
7.
Wu, Maoqiang, et al.. (2024). D-Tracking: Digital Twin Enabled Trajectory Tracking System of Autonomous Vehicles. IEEE Transactions on Vehicular Technology. 73(11). 16457–16469. 9 indexed citations
8.
Ma, Ying, et al.. (2024). Enhanced Electrochemical Characterization of the Immune Checkpoint Protein PD‐L1 using Aptamer‐Functionalized Magnetic Metal‐Organic Frameworks. Advanced Healthcare Materials. 13(9). e2303103–e2303103. 15 indexed citations
9.
Wu, Maoqiang, et al.. (2024). Recent advances in electrochemical MOF-based aptasensors for cancer biomarker detection: A review. Microchemical Journal. 203. 110924–110924. 12 indexed citations
10.
11.
Ye, Dongdong, et al.. (2024). A Cloud–Edge Collaborative Architecture for Multimodal LLM-Based Advanced Driver Assistance Systems in IoT Networks. IEEE Internet of Things Journal. 12(10). 13208–13221. 3 indexed citations
12.
13.
Wu, Maoqiang, et al.. (2023). An electrochemical aptasensor based on P-Ce-MOF@MWCNTs as signal amplification strategy for highly sensitive detection of zearalenone. Food Chemistry. 423. 136331–136331. 33 indexed citations
14.
Wu, Maoqiang, Peichun Li, Rong Yu, et al.. (2023). Split Learning with Differential Privacy for Integrated Terrestrial and Non-Terrestrial Networks. IEEE Wireless Communications. 31(3). 177–184. 29 indexed citations
15.
Sun, Duanping, Ying Ma, Maoqiang Wu, et al.. (2023). Recent progress in aptamer-based microfluidics for the detection of circulating tumor cells and extracellular vesicles. Journal of Pharmaceutical Analysis. 13(4). 340–354. 49 indexed citations
16.
Wu, Maoqiang, et al.. (2023). Electrodeposition of gold-platinum nanoparticles on 2D M-TCPP (M = Co, Cu, Zn) for electrochemical monitoring of H2O2 from living cells. Microchemical Journal. 196. 109622–109622. 3 indexed citations
17.
Wu, Maoqiang, et al.. (2022). Metal-organic framework-based electrochemical aptasensors for detecting cancer biomarkers. SHILAP Revista de lepidopterología. 3(2). 190–205. 2 indexed citations
18.
Wu, Maoqiang, et al.. (2020). Hybrid Sensor Network with Edge Computing for AI Applications of Connected Vehicles. 網際網路技術學刊. 21(5). 1503–1516. 6 indexed citations
19.
Ye, Dongdong, Maoqiang Wu, Shensheng Tang, & Rong Yu. (2016). Scalable Fog Computing with Service Offloading in Bus Networks. 62 indexed citations
20.
Wu, Maoqiang, Dongdong Ye, Jiawen Kang, Haochuan Zhang, & Rong Yu. (2016). Optimal and Cooperative Energy Replenishment in Mobile Rechargeable Networks. 1–5. 7 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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