Huiqun Yu

3.5k total citations · 1 hit paper
215 papers, 2.4k citations indexed

About

Huiqun Yu is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Huiqun Yu has authored 215 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 120 papers in Information Systems, 96 papers in Artificial Intelligence and 81 papers in Computer Networks and Communications. Recurrent topics in Huiqun Yu's work include Software Engineering Research (39 papers), Service-Oriented Architecture and Web Services (35 papers) and Advanced Software Engineering Methodologies (31 papers). Huiqun Yu is often cited by papers focused on Software Engineering Research (39 papers), Service-Oriented Architecture and Web Services (35 papers) and Advanced Software Engineering Methodologies (31 papers). Huiqun Yu collaborates with scholars based in China, United States and Canada. Huiqun Yu's co-authors include Guisheng Fan, Chaobo Xiao, Yihong Huang, Liqiong Chen, Xiang Feng, Ying Hou, Xiang Ji, Mengqi Gao, Jianmei Guo and Zijie Huang and has published in prestigious journals such as Carbohydrate Polymers, Expert Systems with Applications and IEEE Access.

In The Last Decade

Huiqun Yu

196 papers receiving 2.3k citations

Hit Papers

MedChatZH: A tuning LLM for traditional Chinese medicine ... 2024 2026 2025 2024 10 20 30 40 50

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Huiqun Yu China 26 962 848 633 330 240 215 2.4k
Rui Wang China 30 502 0.5× 257 0.3× 731 1.2× 90 0.3× 109 0.5× 235 3.3k
Mingsong Chen China 29 696 0.7× 1.1k 1.3× 507 0.8× 288 0.9× 559 2.3× 204 2.9k
Amandeep Kaur India 26 305 0.3× 292 0.3× 775 1.2× 154 0.5× 472 2.0× 137 2.6k
Mansoor Alam United States 26 250 0.3× 1.3k 1.5× 977 1.5× 23 0.1× 1.3k 5.3× 74 4.4k
R. Anitha India 19 320 0.3× 545 0.6× 323 0.5× 42 0.1× 436 1.8× 163 2.1k
Eunseok Lee South Korea 21 467 0.5× 278 0.3× 271 0.4× 226 0.7× 329 1.4× 160 1.6k
Jin‐Young Choi South Korea 22 220 0.2× 303 0.4× 268 0.4× 62 0.2× 244 1.0× 216 1.8k
Xiaofei Xie Singapore 31 892 0.9× 473 0.6× 1.6k 2.5× 1.1k 3.2× 196 0.8× 173 3.2k
Arun Sharma India 22 586 0.6× 227 0.3× 386 0.6× 365 1.1× 54 0.2× 164 1.7k
Shikha Agrawal India 16 116 0.1× 417 0.5× 515 0.8× 4 0.0× 129 0.5× 69 1.4k

Countries citing papers authored by Huiqun Yu

Since Specialization
Citations

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

Fields of papers citing papers by Huiqun Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huiqun Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Huiqun Yu. A scholar is included among the top collaborators of Huiqun Yu 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 Huiqun Yu. Huiqun Yu 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.
Yu, Huiqun, et al.. (2025). Energy, Cost and Reliability-Aware Workflow Scheduling on Multi-Cloud Systems: A Multi-Objective Evolutionary Approach. IEEE Transactions on Network and Service Management. 22(5). 4788–4805. 1 indexed citations
2.
Lu, Fangfang, et al.. (2024). LPCNet: End-to-end lane detection with PnP compression and condition DETR. Displays. 87. 102902–102902. 1 indexed citations
3.
Feng, Xiang, et al.. (2024). To be global or personalized: Generalized federated learning with cooperative adaptation for data heterogeneity. Knowledge-Based Systems. 301. 112317–112317. 5 indexed citations
4.
Huang, Zijie, et al.. (2024). On the effectiveness of developer features in code smell prioritization: A replication study. Journal of Systems and Software. 210. 111968–111968. 5 indexed citations
5.
Yu, Huiqun, et al.. (2024). Enhanced Short-Term Load Forecasting: Error-Weighted and Hybrid Model Approach. Energies. 17(21). 5304–5304. 4 indexed citations
6.
Yu, Huiqun, et al.. (2024). Handling hierarchy in cloud data centers: A Hyper-Heuristic approach for resource contention and energy-aware Virtual Machine management. Expert Systems with Applications. 249. 123528–123528. 1 indexed citations
7.
Yu, Huiqun, et al.. (2024). Energy-efficient offloading for DNN-based applications in edge-cloud computing: A hybrid chaotic evolutionary approach. Journal of Parallel and Distributed Computing. 187. 104850–104850. 5 indexed citations
8.
Yu, Huiqun, et al.. (2024). Cold-Start-Aware Cloud-Native Parallel Service Function Chain Caching in Edge–Cloud Network. IEEE Internet of Things Journal. 11(11). 20340–20356.
9.
Huang, Zijie, Chen Yang, Peng Qi, et al.. (2024). MedChatZH: A tuning LLM for traditional Chinese medicine consultations. Computers in Biology and Medicine. 172. 108290–108290. 55 indexed citations breakdown →
10.
Huang, Zijie, et al.. (2023). Aligning XAI explanations with software developers’ expectations: A case study with code smell prioritization. Expert Systems with Applications. 238. 121640–121640. 9 indexed citations
11.
Yu, Huiqun, et al.. (2023). Cost-efficient security-aware scheduling for dependent tasks with endpoint contention in edge computing. Computer Communications. 211. 119–133. 3 indexed citations
12.
Yu, Huiqun, et al.. (2023). Elastic Task Offloading and Resource Allocation Over Hybrid Cloud: A Reinforcement Learning Approach. IEEE Transactions on Network and Service Management. 21(2). 1983–1997. 4 indexed citations
13.
Yu, Huiqun, et al.. (2023). Cost-Efficient Fault-Tolerant Workflow Scheduling for Deadline-Constrained Microservice-Based Applications in Clouds. IEEE Transactions on Network and Service Management. 20(3). 3220–3232. 12 indexed citations
14.
Yu, Huiqun, et al.. (2022). Cold-start aware cloud-native service function chain caching in resource-constrained edge: A reinforcement learning approach. Computer Communications. 195. 334–345. 2 indexed citations
15.
Yu, Huiqun, et al.. (2019). Local versus Global Models for Just-In-Time Software Defect Prediction. Scientific Programming. 2019. 1–13. 13 indexed citations
16.
Yu, Huiqun, et al.. (2018). A parallel portfolio approach to configuration optimization for large software product lines. Software Practice and Experience. 48(9). 1588–1606. 4 indexed citations
17.
Ma, Meiyi, et al.. (2015). Social Group Search Optimizer algorithm for ad hoc network. Ad Hoc & Sensor Wireless Networks. 28. 257–287. 1 indexed citations
18.
Yu, Huiqun, Jun Lu, & Chaobo Xiao. (2007). Preparation and Properties of Novel Hydrogels from Oxidized Konjac Glucomannan Cross‐Linked Chitosan for in vitro Drug Delivery. Macromolecular Bioscience. 7(9-10). 1100–1111. 48 indexed citations
19.
Yu, Huiqun, et al.. (2006). Modeling Complex Software Systems Using an Aspect Extension of Object-Z.. Software Engineering and Knowledge Engineering. 11–16. 2 indexed citations
20.
Yu, Huiqun, Dongmei Liu, Li Yang, & Xudong He. (2005). Formal Aspect-Oriented Modeling and Analysis by Aspect.. Software Engineering and Knowledge Engineering. 169–174. 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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