Cong Shi

2.3k citations
79 papers · 1.6k · 1 hit paper · h-index 19

Impact in

Papers in

Cong Shi

72 papers receiving 1.5k citations

Cong Shi's Hit Papers

Serendipity 2012 · 278 citations
2780+4+9Years since publication50100150200250

Peers

Cong Shi
Comparison fields: 5 of 108
  • Computer Networks and Communications 735
  • Signal Processing 282
  • Computer Vision and Pattern Recognition 352
  • Information Systems 344
  • Human-Computer Interaction 75
Replace João M. P. Cardoso with:
João M. P. Cardoso Portugal
Mooi Choo Chuah United States
Xueshi Hou United States
Pradipta De United States
Zhanyong Tang China
Bogdan Cărbunar United States
Yan Sun China
Xiuquan Qiao China
Pedro C. Diniz United States
Cong Shi relative to João M. P. Cardoso Portugal João M. P. Cardoso's profile →
Citations per field
00.5×2.6×
João M. P. Cardoso · 1×
Citations per year

Countries citing papers authored by Cong Shi

Since Specialization
Citations

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

Fields of papers citing papers by Cong Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Cong Shi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Cong Shi Line = papers co-authored together Cong Shi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Serendipity
Hit paper breakdown →
2012278
2 2017202
3 2014134
4 201478
5 201263
6 201856
7 201753
8 202052
9 202048
10 202148
11 201141
12 201140
13 202139
14 202230
15 202129
16 201923
17 202122
18 201121
19
IC-Cloud: Computation Offloading to an Intermittently-Connected Cloud
201320
20 202318

About Cong Shi

Cong Shi is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing, having authored 79 papers that have together received 1.6k indexed citations. Recurring topics across this work include CCD and CMOS Imaging Sensors (11 papers), Indoor and Outdoor Localization Technologies (10 papers), Speech and Audio Processing (9 papers), Adversarial Robustness in Machine Learning (8 papers), Caching and Content Delivery (8 papers), Speech Recognition and Synthesis (7 papers), Advanced Memory and Neural Computing (6 papers) and User Authentication and Security Systems (6 papers). The work is most often cited by research in Computer Networks and Communications (735 citations), Signal Processing (282 citations), Computer Vision and Pattern Recognition (352 citations), Information Systems (344 citations) and Human-Computer Interaction (75 citations). Cong Shi has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Yingying Chen, Ellen Zegura, Mostafa Ammar, Jian Liu, Hongbo Liu, Vasileios Lakafosis, Mayur Naik, Zhuohang Li, Yi Xie and Bo Yuan. Their work appears in journals such as IEEE Transactions on Mobile Computing, Science China Information Sciences, Electronics Letters, Computer Communications and Silva Fennica.

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.

Explore authors with similar magnitude of impact