Qinghua Lu

2.9k total citations · 2 hit papers
86 papers, 1.6k citations indexed

About

Qinghua Lu is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Qinghua Lu has authored 86 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Artificial Intelligence, 39 papers in Information Systems and 14 papers in Computer Networks and Communications. Recurrent topics in Qinghua Lu's work include Blockchain Technology Applications and Security (18 papers), Software Engineering Research (17 papers) and Privacy-Preserving Technologies in Data (13 papers). Qinghua Lu is often cited by papers focused on Blockchain Technology Applications and Security (18 papers), Software Engineering Research (17 papers) and Privacy-Preserving Technologies in Data (13 papers). Qinghua Lu collaborates with scholars based in Australia, China and United States. Qinghua Lu's co-authors include Liming Zhu, Xiwei Xu, Weishan Zhang, Sin Kit Lo, Chengqi Zhang, Guodong Long, Yue Tan, Yue Liu, Lu Liu and Tianyi Zhou and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computer Methods in Applied Mechanics and Engineering and ACM Computing Surveys.

In The Last Decade

Qinghua Lu

69 papers receiving 1.6k citations

Hit Papers

FedProto: Federated Prototype Learning across Heterogeneo... 2020 2026 2022 2024 2022 2020 100 200 300
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. FedProto: Federated Prototype Learning across Heterogeneous Clients
    2022 314 citations Yue Tan, Guodong Long et al. Proceedings of the AAAI Conference on Artificial Intelligence profile →
  2. Blockchain-Based Federated Learning for Device Failure Detection in Industrial IoT
    2020 206 citations Weishan Zhang, Qinghua Lu 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
Qinghua Lu Australia 18 1.0k 523 283 149 148 86 1.6k
Todd Phillips United States 8 528 0.5× 417 0.8× 204 0.7× 225 1.5× 51 0.3× 17 1.2k
Steven Euijong Whang United States 21 1.3k 1.3× 633 1.2× 423 1.5× 145 1.0× 57 0.4× 46 2.2k
Eider Moore United States 6 2.2k 2.1× 359 0.7× 631 2.2× 248 1.7× 432 2.9× 6 2.7k
Noman Mohammed Canada 24 1.7k 1.6× 381 0.7× 447 1.6× 120 0.8× 181 1.2× 83 2.2k
Lingjuan Lyu China 26 2.6k 2.5× 844 1.6× 748 2.6× 279 1.9× 356 2.4× 92 3.3k
Wei Ye China 13 756 0.7× 237 0.5× 181 0.6× 155 1.0× 56 0.4× 41 1.4k

Countries citing papers authored by Qinghua Lu

Since Specialization
Citations

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

Fields of papers citing papers by Qinghua Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qinghua Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Qinghua Lu. A scholar is included among the top collaborators of Qinghua Lu 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 Qinghua Lu. Qinghua Lu 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.
Yang, Yiyuan, Guodong Long, Qinghua Lu, et al.. (2025). Federated Low-Rank Adaptation for Foundation Models: A Survey. ArXiv.org. 10779–10787.
2.
Huang, Yining, Jingyue Li, Shanshan Li, et al.. (2025). Decision Support for Selecting Blockchain-Based Application Design Patterns With Layered Taxonomy and Quality Attributes. IEEE Transactions on Software Engineering. 51(4). 1039–1066.
3.
Nguyen, Lam Duc, Thong Hoang, H. M. N. Dilum Bandara, et al.. (2025). Blockchain-Empowered Trustworthy Data Sharing: Fundamentals, Applications, and Challenges. ACM Computing Surveys. 57(8). 1–36. 8 indexed citations
4.
Liang, Haoyu, Peng Yu, Qinghua Lu, Yongxin Wu, & Ning Tan. (2025). Model-free kinematic control of redundant manipulators: A passivity perspective. Robotics and Autonomous Systems. 194. 105146–105146.
5.
Zhang, Weishan, Tao Zhou, Qinghua Lu, et al.. (2024). FedSL: A Communication-Efficient Federated Learning With Split Layer Aggregation. IEEE Internet of Things Journal. 11(9). 15587–15601. 15 indexed citations
6.
Zhang, Zejun, Zhenchang Xing, Dehai Zhao, et al.. (2024). Automated Refactoring of Non-Idiomatic Python Code With Pythonic Idioms. IEEE Transactions on Software Engineering. 50(11). 2827–2848. 2 indexed citations
7.
Sanderson, Conrad, et al.. (2024). Resolving Ethics Trade-offs in Implementing Responsible AI. 1208–1213. 5 indexed citations
8.
Lu, Qinghua, Liming Zhu, Xiwei Xu, Zhenchang Xing, & Jon Whittle. (2024). Toward Responsible AI in the Era of Generative AI: A Reference Architecture for Designing Foundation Model-Based Systems. IEEE Software. 41(6). 91–100. 7 indexed citations
9.
Dong, Liming, Qinghua Lu, & Liming Zhu. (2024). A Pilot Study in Surveying Data Challenges of Automatic Software Engineering Tasks. 6–11. 2 indexed citations
10.
Huang, Qing, et al.. (2024). GuessGas: Tell Me Fine-Grained Gas Consumption of My Smart Contract and Why. IEEE Transactions on Reliability. 74(1). 2348–2362.
11.
Sun, Jiamou, Zhenchang Xing, Qinghua Lu, Xiwei Xu, & Liming Zhu. (2023). A Multi-faceted Vulnerability Searching Website Powered by Aspect-level Vulnerability Knowledge Graph. 60–63.
12.
Tan, Yue, Yixin Liu, Guodong Long, et al.. (2023). Federated Learning on Non-IID Graphs via Structural Knowledge Sharing. Proceedings of the AAAI Conference on Artificial Intelligence. 37(8). 9953–9961. 75 indexed citations
13.
Xing, Zhenchang, et al.. (2023). SoapOperaTG: A Tool for System Knowledge Graph Based Soap Opera Test Generation. 6. 51–54. 1 indexed citations
14.
Huang, Qing, et al.. (2023). API Entity and Relation Joint Extraction from Text via Dynamic Prompt-tuned Language Model. ACM Transactions on Software Engineering and Methodology. 33(1). 1–25. 5 indexed citations
15.
Zhang, Weishan, Liang Xu, Qinghua Lu, et al.. (2023). CFSL: A Credible Federated Self-Learning Framework. IEEE Internet of Things Journal. 10(24). 21349–21362. 14 indexed citations
16.
Chen, Huaming, et al.. (2023). FVW: Finding Valuable Weight on Deep Neural Network for Model Pruning. Research Online (University of Wollongong). 3657–3666.
17.
Sanderson, Conrad, David Douglas, Qinghua Lu, et al.. (2023). AI Ethics Principles in Practice: Perspectives of Designers and Developers. Griffith Research Online (Griffith University, Queensland, Australia). 4(2). 171–187. 42 indexed citations
18.
Yu, Zepei, Weishan Zhang, Xiao Wang, et al.. (2022). Homophily Learning-Based Federated Intelligence: A Case Study on Industrial IoT Equipment Failure Prediction. IEEE Internet of Things Journal. 10(8). 7356–7365. 12 indexed citations
19.
Liu, Yue, Qinghua Lu, Shiping Chen, et al.. (2020). Capability-based IoT access control using blockchain. Digital Communications and Networks. 7(4). 463–469. 41 indexed citations
20.
Cui, Laizhong, Ziteng Chen, Shu Yang, et al.. (2020). A Blockchain-Based Containerized Edge Computing Platform for the Internet of Vehicles. IEEE Internet of Things Journal. 8(4). 2395–2408. 47 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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