Qingwei Lin

5.1k total citations · 3 hit papers
133 papers, 3.1k citations indexed

About

Qingwei Lin is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Qingwei Lin has authored 133 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Computer Networks and Communications, 63 papers in Information Systems and 58 papers in Artificial Intelligence. Recurrent topics in Qingwei Lin's work include Software System Performance and Reliability (64 papers), Network Security and Intrusion Detection (28 papers) and Cloud Computing and Resource Management (28 papers). Qingwei Lin is often cited by papers focused on Software System Performance and Reliability (64 papers), Network Security and Intrusion Detection (28 papers) and Cloud Computing and Resource Management (28 papers). Qingwei Lin collaborates with scholars based in China, United States and Australia. Qingwei Lin's co-authors include Dongmei Zhang, Hongyu Zhang, Jian–Guang Lou, Yingnong Dang, Qiang Fu, Yong Xu, Rui Ding, Bo Qiao, Xuewei Chen and Yu Zhang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Food Hydrocolloids and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Qingwei Lin

124 papers receiving 3.1k citations

Hit Papers

Robust log-based anomaly detection on unstable log data 2016 2026 2019 2022 2019 2016 2024 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qingwei Lin China 28 2.4k 1.5k 1.3k 621 190 133 3.1k
Yingnong Dang United States 28 1.9k 0.8× 915 0.6× 1.4k 1.1× 719 1.2× 277 1.5× 58 2.6k
Lars Grunske Germany 28 1.0k 0.4× 998 0.7× 1.3k 1.0× 1.3k 2.1× 141 0.7× 109 2.4k
Weiyi Shang Canada 30 1.7k 0.7× 696 0.5× 2.0k 1.5× 1.1k 1.7× 227 1.2× 117 2.7k
Ralf Reussner Germany 24 2.0k 0.8× 1.4k 0.9× 1.8k 1.4× 1.1k 1.7× 48 0.3× 195 2.9k
Guofei Jiang United States 32 2.8k 1.2× 1.3k 0.8× 2.0k 1.6× 512 0.8× 844 4.4× 139 3.9k
Miguel Correia Portugal 32 2.5k 1.0× 1.1k 0.7× 1.9k 1.5× 186 0.3× 434 2.3× 198 3.5k
Domenico Cotroneo Italy 27 1.9k 0.8× 553 0.4× 1.1k 0.9× 1.0k 1.6× 227 1.2× 182 2.6k
Luciano Baresi Italy 28 1.3k 0.6× 1.4k 0.9× 1.9k 1.5× 736 1.2× 79 0.4× 187 2.8k
Raffaela Mirandola Italy 21 1.4k 0.6× 1.3k 0.9× 1.2k 1.0× 596 1.0× 23 0.1× 145 2.1k
Giuliano Casale United Kingdom 29 2.3k 1.0× 748 0.5× 1.6k 1.2× 172 0.3× 265 1.4× 180 3.0k

Countries citing papers authored by Qingwei Lin

Since Specialization
Citations

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

Fields of papers citing papers by Qingwei Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qingwei Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Qingwei Lin. A scholar is included among the top collaborators of Qingwei Lin 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 Qingwei Lin. Qingwei Lin 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.
Wang, Lu, Fangkai Yang, Cheng Huang, et al.. (2025). Token-level Proximal Policy Optimization for Query Generation. 31184–31198.
2.
Gu, Shangding, et al.. (2025). Safe and Balanced: A Framework for Constrained Multi-Objective Reinforcement Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(5). 3322–3331.
4.
Zhang, Chaoyun, Minghua Ma, Si Qin, et al.. (2025). Large Language Models can Deliver Accurate and Interpretable Time Series Anomaly Detection. 4623–4634. 5 indexed citations
5.
Xu, Ping, Zeliang Chen, Lingyun Fang, et al.. (2024). Influence of Improved Particle Breakage Index on Deformation Strength Characteristics of Soil-Rock Mixtures. Applied Sciences. 14(13). 5899–5899.
6.
Yang, Fangkai, Lu Wang, Pu Zhao, et al.. (2024). SELF-GUARD: Empower the LLM to Safeguard Itself. 1648–1668. 9 indexed citations
7.
Chen, Kang, et al.. (2024). Effects of tributary inflows on unsteady flow hysteresis and hydrodynamics in the mainstream. Hydrology research. 55(8). 815–833. 3 indexed citations
8.
Wang, Lu, Yong Xu, Minghua Ma, et al.. (2024). Everything of Thoughts: Defying the Law of Penrose Triangle for Thought Generation. 1638–1662. 4 indexed citations
9.
Yang, Fangkai, Lu Wang, Jue Zhang, et al.. (2024). AutoRAG-HP: Automatic Online Hyper-Parameter Tuning for Retrieval-Augmented Generation. 3875–3891. 4 indexed citations
10.
Zhang, Zhiyang, Fangkai Yang, Shujian Huang, et al.. (2024). EfficientRAG: Efficient Retriever for Multi-Hop Question Answering. 3392–3411. 2 indexed citations
11.
Ma, Minghua, Chaoyun Zhang, Si Qin, et al.. (2024). MonitorAssistant: Simplifying Cloud Service Monitoring via Large Language Models. 38–49. 9 indexed citations
12.
Pei, Changhua, Xin Wang, Minghua Ma, et al.. (2024). Pre-trained KPI Anomaly Detection Model Through Disentangled Transformer. 6190–6201. 4 indexed citations
13.
Cui, Z.Y., Shilin He, Pinjia He, et al.. (2024). UniLog: Automatic Logging via LLM and In-Context Learning. 1–12. 27 indexed citations
14.
Sun, Qing‐Feng, Can Xu, Pu Zhao, et al.. (2023). MMDialog: A Large-scale Multi-turn Dialogue Dataset Towards Multi-modal Open-domain Conversation. 7348–7363. 7 indexed citations
15.
Yang, Fangkai, Zezhong Wang, Lu Wang, et al.. (2023). Empower Large Language Model to Perform Better on Industrial Domain-Specific Question Answering. 294–312. 20 indexed citations
16.
Zhang, Chaoyun, Lu Wang, Yong Xu, et al.. (2023). TraceDiag: Adaptive, Interpretable, and Efficient Root Cause Analysis on Large-Scale Microservice Systems. 1762–1773. 11 indexed citations
17.
Li, Liqun, Xu Zhang, Shilin He, et al.. (2023). CONAN: Diagnosing Batch Failures for Cloud Systems. 138–149. 9 indexed citations
18.
Wang, Lu, Fangkai Yang, Bo Qiao, et al.. (2023). Learning Cooperative Oversubscription for Cloud by Chance-Constrained Multi-Agent Reinforcement Learning. 2927–2936. 3 indexed citations
19.
Zhang, Shenglin, Minghua Ma, Yu Kang, et al.. (2023). Assess and Summarize: Improve Outage Understanding with Large Language Models. 1657–1668. 21 indexed citations
20.
Lou, Jian–Guang, Qingwei Lin, Rui Ding, et al.. (2013). Software analytics for incident management of online services: An experience report. 475–485. 44 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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