Yingnong Dang
- Computer Networks and Communications top 0.5%
- Information Systems top 0.5%
- Artificial Intelligence top 1%
- Software top 0.5%
- Signal Processing top 2%
- Co-authors
- Dongmei ZhangQingwei LinHongyu ZhangTao XieMurali ChintalapatiPeng HuangYong XuRandolph Yao
- Topics
- Software System Performance and Reliability (37 papers)Software Engineering Research (20 papers)Cloud Computing and Resource Management (15 papers)
- Journals
- IEEE Transactions on Software EngineeringACM SIGCOMM Computer Communication ReviewProceedings of the VLDB Endowment
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Yingnong Dang
57 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 77
- Computer Networks and Communications 1.9k
- Information Systems 1.4k
- Artificial Intelligence 915
- Software 719
- Signal Processing 277
Countries citing papers authored by Yingnong Dang
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 9 | |
| 3 | 12 | |
| 4 | 9 | |
| 5 | 21 | |
| 6 | 11 | |
| 7 | 8 | |
| 8 | 3 | |
| 9 | 19 | |
| 10 | 119 | |
| 11 | 60 | |
| 12 | Deepview: Virtual Disk Failure Diagnosis and Pattern Detection for Azure. | 16 |
| 13 | Improving Service Availability of Cloud Systems by Predicting Disk Error. | 46 |
| 14 | 76 | |
| 15 | 20 | |
| 16 | 118 | |
| 17 | 37 | |
| 18 | 69 | |
| 19 | 122 | |
| 20 | 47 |
About Yingnong Dang
Yingnong Dang is a scholar working on Software, Computer Networks and Communications and Information Systems, having authored 58 papers that have together received 2.6k indexed citations. Recurring topics across this work include Software System Performance and Reliability (37 papers), Software Engineering Research (20 papers) and Cloud Computing and Resource Management (15 papers). The work is most often cited by research in Software (719 citations), Computer Networks and Communications (1.9k citations) and Information Systems (1.4k citations). Yingnong Dang has collaborated with scholars based in United States, China and Australia. Frequent 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. Their work appears in journals such as IEEE Transactions on Software Engineering, ACM SIGCOMM Computer Communication Review and Proceedings of the VLDB Endowment.
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.