Chi Yang

2.4k citations
43 papers · 1.6k indexed · 1 hit paper · h-index 18

Impact in

Papers in

Chi Yang

40 papers receiving 1.5k citations

Hit Papers

The Blockchain as a Decentralized Security Framework [Future Directions] 2018 · 298 citations
298201820262020202350100150200250

Peers

Chi Yang
Comparison fields: 5 of 99
  • Information Systems 1.0k
  • Computer Networks and Communications 571
  • Artificial Intelligence 782
  • Management Information Systems 115
  • Computational Mathematics 7
Replace P. Dhavachelvan with:
P. Dhavachelvan India
Zhiqiu Huang China
Jianling Sun China
Todd Phillips United States
Dietmar Ebner Austria
E Haihong China
Marin Litoiu Canada
Quanwang Wu China
Emanuele Della Valle Italy
Kostas Kolomvatsos Greece
Chi Yang relative to P. Dhavachelvan India P. Dhavachelvan's profile →
Citations per field
00.5×3.5×
P. Dhavachelvan · 1×
Citations per year

Countries citing papers authored by Chi Yang

Since Specialization
Citations

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

Fields of papers citing papers by Chi Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20188
2 20184
3 20183
4 20172
5 201756
6 201617
7 201490
8 201454
9 201481
10 201413
11 201321
12 201329
13 201223
14 20115
15 201042
16 20095
17
A RSSI-based algorithm for indoor localization using ZigBee in wireless sensor network
200926
18 20095
19 20072
20 200710

About Chi Yang

Chi Yang is a scholar working on Information Systems, Computer Networks and Communications, Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition, having authored 43 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cloud Data Security Solutions (16 papers), Cryptography and Data Security (16 papers), Privacy-Preserving Technologies in Data (8 papers), Advanced Database Systems and Queries (5 papers), Indoor and Outdoor Localization Technologies (4 papers), IoT and Edge/Fog Computing (4 papers), Service-Oriented Architecture and Web Services (4 papers) and Energy Efficient Wireless Sensor Networks (4 papers). The work is most often cited by research in Information Systems (1.0k citations), Computer Networks and Communications (571 citations), Artificial Intelligence (782 citations), Management Information Systems (115 citations) and Computational Mathematics (7 citations). Chi Yang has collaborated with scholars based in Australia, China and New Zealand. Frequent co-authors include Xuyun Zhang, Jinjun Chen, Chang Liu, Deepak Puthal, Elias Kougianos, Saraju P. Mohanty, Wanchun Dou, Nisha Malik, Rajiv Ranjan and ‪Surya Nepal‬. Their work appears in journals such as Future Generation Computer Systems, Journal of Computer and System Sciences, IEEE Consumer Electronics Magazine, IEEE Transactions on Parallel and Distributed Systems and IEEE Transactions on Knowledge and Data Engineering.

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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