Yingnong Dang

3.9k total citations · 2 hit papers
58 papers, 2.6k citations indexed

About

Yingnong Dang is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Yingnong Dang has authored 58 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Computer Networks and Communications, 36 papers in Information Systems and 19 papers in Artificial Intelligence. Recurrent topics in Yingnong Dang's work include Software System Performance and Reliability (37 papers), Software Engineering Research (20 papers) and Cloud Computing and Resource Management (15 papers). Yingnong Dang is often cited by papers focused on Software System Performance and Reliability (37 papers), Software Engineering Research (20 papers) and Cloud Computing and Resource Management (15 papers). Yingnong Dang collaborates with scholars based in United States, China and Australia. Yingnong Dang's co-authors include Dongmei Zhang, Qingwei Lin, Hongyu Zhang, Tao Xie, Murali Chintalapati, Peng Huang, Yong Xu, Randolph Yao, Jian–Guang Lou and Shi Han and has published in prestigious journals such as IEEE Transactions on Software Engineering, ACM SIGCOMM Computer Communication Review and Proceedings of the VLDB Endowment.

In The Last Decade

Yingnong Dang

57 papers receiving 2.6k citations

Hit Papers

align trajectories sort by overperformance

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.

Robust log-based anomaly detection on unstable log data

2019 401 citations Yong Xu, Qingwei Lin et al. profile →
Pingmesh

2015 290 citations Chuanxiong Guo, Yingnong Dang et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yingnong Dang United States	28	1.9k	1.4k	915	719	277	58	2.6k
Weiyi Shang Canada	30	1.7k 0.9×	2.0k 1.4×	696 0.8×	1.1k 1.5×	227 0.8×	117	2.7k
Bing Xie China	22	812 0.4×	1.2k 0.8×	542 0.6×	546 0.8×	291 1.1×	90	2.0k
Philipp Leitner Sweden	25	1.6k 0.9×	1.6k 1.2×	404 0.4×	355 0.5×	84 0.3×	100	2.2k
Antonia Bertolino Italy	27	1.1k 0.6×	2.0k 1.4×	766 0.8×	2.4k 3.3×	198 0.7×	172	3.2k
Abdelwahab Hamou‐Lhadj Canada	23	926 0.5×	1.1k 0.8×	623 0.7×	659 0.9×	410 1.5×	140	1.7k
Lars Grunske Germany	28	1.0k 0.5×	1.3k 0.9×	998 1.1×	1.3k 1.8×	141 0.5×	109	2.4k
Pinjia He China	22	1.9k 1.0×	1.2k 0.8×	1.2k 1.3×	708 1.0×	159 0.6×	58	2.5k
Qingwei Lin China	28	2.4k 1.3×	1.3k 0.9×	1.5k 1.7×	621 0.9×	190 0.7×	133	3.1k
He Jiang China	25	378 0.2×	1.3k 0.9×	634 0.7×	618 0.9×	330 1.2×	161	1.8k
Ladan Tahvildari Canada	22	994 0.5×	1.5k 1.0×	1.1k 1.2×	751 1.0×	85 0.3×	81	2.1k

Countries citing papers authored by Yingnong Dang

Since Specialization

Citations

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

Fields of papers citing papers by Yingnong Dang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingnong Dang

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

1.

Zhang, Xing, Jian Wen, Fangkai Yang, et al.. (2025). Skeleton-Guided-Translation: A Benchmarking Framework for Code Repository Translation with Fine-Grained Quality Evaluation. 18187–18198. 1 indexed citations

2.

Ma, Minghua, Chaoyun Zhang, Si Qin, et al.. (2024). MonitorAssistant: Simplifying Cloud Service Monitoring via Large Language Models. 38–49. 9 indexed citations

3.

Zhang, Chaoyun, Shilin He, Minghua Ma, et al.. (2024). Xpert: Empowering Incident Management with Query Recommendations via Large Language Models. 1–13. 12 indexed citations

4.

Lin, Qingwei, Pu Zhao, Yudong Liu, et al.. (2023). EDITS: An Easy-to-difficult Training Strategy for Cloud Failure Prediction. 371–375. 11 indexed citations

5.

Zhang, Shenglin, Minghua Ma, Yu Kang, et al.. (2023). Assess and Summarize: Improve Outage Understanding with Large Language Models. 1657–1668. 21 indexed citations

6.

Li, Liqun, Xu Zhang, Shilin He, et al.. (2023). CONAN: Diagnosing Batch Failures for Cloud Systems. 138–149. 9 indexed citations

7.

Yan, Xiaohan, Minghua Ma, Murali Chintalapati, et al.. (2023). Aegis: Attribution of Control Plane Change Impact across Layers and Components for Cloud Systems. 222–233. 8 indexed citations

8.

Li, Yichen, Xu Zhang, Shilin He, et al.. (2022). An Intelligent Framework for Timely, Accurate, and Comprehensive Cloud Incident Detection. ACM SIGOPS Operating Systems Review. 56(1). 1–7. 10 indexed citations

9.

Li, Liqun, Shilin He, Hongyu Zhang, et al.. (2022). SPINE: a scalable log parser with feedback guidance. 1198–1208. 32 indexed citations

10.

Yao, Randolph, Chuan Luo, Bo Qiao, et al.. (2021). Infusing ML into VM Provisioning in Cloud. 44–45. 1 indexed citations

11.

Gu, Jiazhen, Chuan Luo, Si Qin, et al.. (2020). Efficient incident identification from multi-dimensional issue reports via meta-heuristic search. 292–303. 19 indexed citations

12.

Dang, Yingnong, Qingwei Lin, & Peng Huang. (2019). AIOps: Real-World Challenges and Research Innovations. 4–5. 119 indexed citations

13.

Chen, Junjie, Xiaoting He, Qingwei Lin, et al.. (2019). An Empirical Investigation of Incident Triage for Online Service Systems. 111–120. 60 indexed citations

14.

Xu, Yong, Kaixin Sui, Randolph Yao, et al.. (2018). Improving Service Availability of Cloud Systems by Predicting Disk Error.. Figshare. 481–494. 46 indexed citations

15.

Zhang, Qiao, Chuanxiong Guo, Yingnong Dang, et al.. (2018). Deepview: Virtual Disk Failure Diagnosis and Pattern Detection for Azure.. Networked Systems Design and Implementation. 519–532. 16 indexed citations

16.

Lin, Qingwei, Yingnong Dang, Hongyu Zhang, et al.. (2018). Predicting Node failure in cloud service systems. 480–490. 76 indexed citations

17.

Han, Shi, Yingnong Dang, Ge Song, Dongmei Zhang, & Tao Xie. (2012). Performance debugging in the large via mining millions of stack traces. 145–155. 122 indexed citations

18.

Han, Shi, Yingnong Dang, Ge Song, Dongmei Zhang, & Tao Xie. (2012). Performance debugging in the large via mining millions of stack traces. International Conference on Software Engineering. 145–155. 37 indexed citations

19.

Dang, Yingnong, et al.. (2012). ReBucket: a method for clustering duplicate crash reports based on call stack similarity. International Conference on Software Engineering. 1084–1093. 69 indexed citations

20.

Wang, Xiaoyin, et al.. (2012). Can I clone this piece of code here?. 170–179. 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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