Chenggang Wu

962 total citations
11 papers, 415 citations indexed

About

Chenggang Wu is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Chenggang Wu has authored 11 papers receiving a total of 415 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Networks and Communications, 8 papers in Information Systems and 3 papers in Artificial Intelligence. Recurrent topics in Chenggang Wu's work include Cloud Computing and Resource Management (7 papers), Advanced Data Storage Technologies (5 papers) and Distributed systems and fault tolerance (4 papers). Chenggang Wu is often cited by papers focused on Cloud Computing and Resource Management (7 papers), Advanced Data Storage Technologies (5 papers) and Distributed systems and fault tolerance (4 papers). Chenggang Wu collaborates with scholars based in United States, Israel and United Kingdom. Chenggang Wu's co-authors include Joseph M. Hellerstein, Vikram Sreekanti, Joseph E. Gonzalez, Alexey Tumanov, Johann Schleier-Smith, Sanjay Krishnan, Pieter Abbeel, Zongheng Yang, Xi Chen and Eric Liang and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, Proceedings of the VLDB Endowment and The VLDB Journal.

In The Last Decade

Chenggang Wu

10 papers receiving 404 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chenggang Wu United States 8 334 241 118 103 47 11 415
Shi Qiao United States 10 272 0.8× 192 0.8× 97 0.8× 94 0.9× 51 1.1× 19 341
Myungcheol Doo United States 4 248 0.7× 124 0.5× 96 0.8× 89 0.9× 31 0.7× 9 344
Prashanth Menon United States 8 361 1.1× 184 0.8× 119 1.0× 98 1.0× 32 0.7× 12 412
Boduo Li United States 7 185 0.6× 169 0.7× 93 0.8× 63 0.6× 48 1.0× 9 286
Zhen Hua Liu United States 10 280 0.8× 109 0.5× 180 1.5× 164 1.6× 21 0.4× 39 356
Emad Soroush United States 8 213 0.6× 74 0.3× 78 0.7× 101 1.0× 30 0.6× 10 286
Mohsine Eleuldj Morocco 5 304 0.9× 242 1.0× 64 0.5× 21 0.2× 30 0.6× 15 404
Daniel Gyllstrom United States 6 329 1.0× 86 0.4× 131 1.1× 187 1.8× 28 0.6× 7 376
Srinath Shankar United States 8 306 0.9× 256 1.1× 29 0.2× 58 0.6× 54 1.1× 10 342
Andrew Or United States 6 231 0.7× 146 0.6× 80 0.7× 23 0.2× 47 1.0× 7 300

Countries citing papers authored by Chenggang Wu

Since Specialization
Citations

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

Fields of papers citing papers by Chenggang Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chenggang Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Chenggang Wu. A scholar is included among the top collaborators of Chenggang Wu 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 Chenggang Wu. Chenggang Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Wu, Chenggang, et al.. (2022). DSPR: Secure decentralized storage with proof-of-replication for edge devices. Journal of Systems Architecture. 125. 102441–102441. 4 indexed citations
2.
Ichnowski, Jeffrey, et al.. (2021). Serverless Multi-Query Motion Planning for Fog Robotics. 7457–7463. 4 indexed citations
3.
Wu, Chenggang, Vikram Sreekanti, & Joseph M. Hellerstein. (2020). Transactional Causal Consistency for Serverless Computing. 83–97. 16 indexed citations
4.
Sreekanti, Vikram, Chenggang Wu, Johann Schleier-Smith, et al.. (2020). Cloudburst. Proceedings of the VLDB Endowment. 13(12). 2438–2452. 127 indexed citations
5.
Wu, Chenggang, Vikram Sreekanti, & Joseph M. Hellerstein. (2020). Autoscaling tiered cloud storage in Anna. The VLDB Journal. 30(1). 25–43. 16 indexed citations
6.
Wu, Chenggang, Jose M. Faleiro, Yihan Lin, & Joseph M. Hellerstein. (2019). Anna: A KVS For Any Scale. IEEE Transactions on Knowledge and Data Engineering. 1–1. 19 indexed citations
7.
Wu, Chenggang, Vikram Sreekanti, & Joseph M. Hellerstein. (2019). Autoscaling tiered cloud storage in Anna. Proceedings of the VLDB Endowment. 12(6). 624–638. 28 indexed citations
8.
Yang, Zongheng, Eric Liang, Chenggang Wu, et al.. (2019). Deep unsupervised cardinality estimation. Proceedings of the VLDB Endowment. 13(3). 279–292. 124 indexed citations
9.
Wu, Chenggang, Jose M. Faleiro, Yihan Lin, & Joseph M. Hellerstein. (2018). Anna: A KVS for Any Scale. 401–412. 19 indexed citations
10.
Wu, Chenggang, Alekh Jindal, Saeed Amizadeh, et al.. (2018). Towards a learning optimizer for shared clouds. Proceedings of the VLDB Endowment. 12(3). 210–222. 56 indexed citations
11.
Wu, Chenggang. (2002). Module-Based Mobile Agent and Its Schedule Method. 2 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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