Cheng Sheng

751 total citations
18 papers, 481 citations indexed

About

Cheng Sheng is a scholar working on Signal Processing, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Cheng Sheng has authored 18 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Signal Processing, 9 papers in Computer Networks and Communications and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Cheng Sheng's work include Data Management and Algorithms (16 papers), Algorithms and Data Compression (7 papers) and Advanced Image and Video Retrieval Techniques (6 papers). Cheng Sheng is often cited by papers focused on Data Management and Algorithms (16 papers), Algorithms and Data Compression (7 papers) and Advanced Image and Video Retrieval Techniques (6 papers). Cheng Sheng collaborates with scholars based in Hong Kong, South Korea and United States. Cheng Sheng's co-authors include Yufei Tao, Ke Yi, Panos Kalnis, Nan Zhang, Xin Jin, Jian Pei, Stavros Papadopoulos, Kostas Stefanidis, Jianzhong Li and Chin‐Wan Chung and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, Proceedings of the VLDB Endowment and ACM Transactions on Database Systems.

In The Last Decade

Cheng Sheng

18 papers receiving 462 citations

Peers

Cheng Sheng
Darren Erik Vengroff United States
Elke Achtert Germany
H.-W. Six Germany
Son Dao United States
Shuai Ding United States
Maarten Löffler Netherlands
Cheng Sheng
Citations per year, relative to Cheng Sheng Cheng Sheng (= 1×) peers Norio Katayama

Countries citing papers authored by Cheng Sheng

Since Specialization
Citations

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

Fields of papers citing papers by Cheng Sheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cheng Sheng

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

All Works

18 of 18 papers shown
1.
Hu, Xiaocheng, Cheng Sheng, & Yufei Tao. (2018). Building an Optimal Point-Location Structure in $$O( sort (n))$$ O ( s o r t ( n ) ) I/Os. Algorithmica. 81(5). 1921–1937. 3 indexed citations
2.
Afshani, Peyman, et al.. (2014). Concurrent range reporting in two-dimensional space. Symposium on Discrete Algorithms. 983–994. 1 indexed citations
3.
Tao, Yufei & Cheng Sheng. (2013). Fast Nearest Neighbor Search with Keywords. IEEE Transactions on Knowledge and Data Engineering. 26(4). 878–888. 39 indexed citations
4.
Tao, Yufei & Cheng Sheng. (2013). I/O-Efficient Bundled Range Aggregation. IEEE Transactions on Knowledge and Data Engineering. 26(6). 1521–1531. 1 indexed citations
5.
Tao, Yufei, et al.. (2013). Range Aggregation With Set Selection. IEEE Transactions on Knowledge and Data Engineering. 26(5). 1240–1252. 8 indexed citations
6.
Sheng, Cheng & Yufei Tao. (2012). Worst-Case I/O-Efficient Skyline Algorithms. ACM Transactions on Database Systems. 37(4). 1–22. 17 indexed citations
7.
Sheng, Cheng, Yufei Tao, & Jianzhong Li. (2012). Exact and approximate algorithms for the most connected vertex problem. ACM Transactions on Database Systems. 37(2). 1–39. 6 indexed citations
8.
Sheng, Cheng & Yufei Tao. (2012). Dynamic top-k range reporting in external memory. 121–130. 9 indexed citations
9.
Sheng, Cheng, Nan Zhang, Yufei Tao, & Xin Jin. (2012). Optimal algorithms for crawling a hidden database in the web. Proceedings of the VLDB Endowment. 5(11). 1112–1123. 43 indexed citations
10.
Sheng, Cheng & Yufei Tao. (2011). FIFO indexes for decomposable problems. 25–35. 1 indexed citations
11.
Tao, Yufei, Stavros Papadopoulos, Cheng Sheng, & Kostas Stefanidis. (2011). Nearest keyword search in XML documents. 3. 589–600. 25 indexed citations
12.
Tao, Yufei, Cheng Sheng, & Jian Pei. (2011). On k-skip shortest paths. 421–432. 28 indexed citations
13.
Sheng, Cheng & Yufei Tao. (2011). New results on two-dimensional orthogonal range aggregation in external memory. 129–139. 14 indexed citations
14.
Sheng, Cheng & Yufei Tao. (2011). On finding skylines in external memory. 107–116. 30 indexed citations
15.
Tao, Yufei, Cheng Sheng, & Jianzhong Li. (2010). Finding maximum degrees in hidden bipartite graphs. 891–902. 8 indexed citations
16.
Tao, Yufei, Ke Yi, Cheng Sheng, Jian Pei, & Feifei Li. (2010). Logging every footstep. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 639–650. 9 indexed citations
17.
Tao, Yufei, Ke Yi, Cheng Sheng, & Panos Kalnis. (2010). Efficient and accurate nearest neighbor and closest pair search in high-dimensional space. ACM Transactions on Database Systems. 35(3). 1–46. 82 indexed citations
18.
Tao, Yufei, Ke Yi, Cheng Sheng, & Panos Kalnis. (2009). Quality and efficiency in high dimensional nearest neighbor search. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 563–576. 157 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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