Jun Yang

3.9k citations
143 papers · 2.3k indexed · 1 hit paper · h-index 26

Impact in

Papers in

Jun Yang

132 papers receiving 2.2k citations

Hit Papers

BLINKS 2007 · 342 citations
3422007202620132019100200300

Peers

Jun Yang
Comparison fields: 5 of 107
  • Signal Processing 814
  • Computer Networks and Communications 1.2k
  • Artificial Intelligence 1.0k
  • Information Systems 598
  • Computer Vision and Pattern Recognition 335
Replace Ruoming Jin with:
Ruoming Jin United States
Lei Zou China
Sai Wu China
Weining Qian China
Manfred Hauswirth Ireland
Hong Gao China
C. Yu United States
Sudipto Das United States
Mudhakar Srivatsa United States
Dan Lin United States
Jun Yang relative to Ruoming Jin United States Ruoming Jin's profile →
Citations per field
00.5×1.6×
Ruoming Jin · 1×
Citations per year

Countries citing papers authored by Jun Yang

Since Specialization
Citations

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

Fields of papers citing papers by Jun Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jun Yang, 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 Jun Yang Line = papers co-authored together Jun Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 143 papers — load more, or switch the sort, to bring in the rest.

#Work
1
BLINKS
Hit paper breakdown →
2007342
2 2013113
3 2006107
4 201486
5 201785
6
Computational Journalism: A Call to Arms to Database Researchers
201166
7 201463
8
Materialized Views
201262
9 200658
10
Performance Issues in Incremental Warehouse Maintenance
200054
11 201250
12
Expiring Data in a Warehouse
199848
13 201546
14 201544
15
Suppression and failures in sensor networks: a Bayesian approach
200738
16 201936
17 200534
18 202432
19 200831
20 201831

About Jun Yang

Jun Yang is a scholar working on Signal Processing, Computer Networks and Communications, Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems, having authored 143 papers that have together received 2.3k indexed citations. Recurring topics across this work include Data Management and Algorithms (29 papers), Advanced Database Systems and Queries (26 papers), Cryptography and Data Security (15 papers), Energy Efficient Wireless Sensor Networks (14 papers), Privacy-Preserving Technologies in Data (12 papers), Image Retrieval and Classification Techniques (12 papers), Advanced Data Storage Technologies (11 papers) and Algorithms and Data Compression (10 papers). The work is most often cited by research in Signal Processing (814 citations), Computer Networks and Communications (1.2k citations), Artificial Intelligence (1.0k citations), Information Systems (598 citations) and Computer Vision and Pattern Recognition (335 citations). Jun Yang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Hao He, Haixun Wang, Philip S. Yu, Kamesh Munagala, Pankaj K. Agarwal, Cong Yu, Chengkai Li, Matthias Böehm, Arun Kumar and Chunfu Jia. Their work appears in journals such as Proceedings of the VLDB Endowment, Soft Computing, Translational Vision Science & Technology, IEEE Access and Personal and Ubiquitous Computing.

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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