K.A. Hua

2.8k citations
64 papers · 1.9k · h-index 19

Impact in

    • Peer-to-Peer Network Technologies
    • Caching and Content Delivery
    • Opportunistic and Delay-Tolerant Networks
    • Network Traffic and Congestion Control
    • Mobile Ad Hoc Networks
    • Data Management and Algorithms

Papers in

K.A. Hua

60 papers receiving 1.7k citations

Peers

K.A. Hua
Comparison fields: 5 of 71
  • Computer Networks and Communications 1.5k
  • Signal Processing 274
  • Computer Vision and Pattern Recognition 471
  • Sociology and Political Science 438
  • Transportation 45
Replace A. Karmouch with:
A. Karmouch Canada
Jonathan Ledlie United States
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John A. Copeland United States
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Özgü Alay Norway
Lujie Zhong China
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Citations per field
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A. Karmouch · 1×
Citations per year

Countries citing papers authored by K.A. Hua

Since Specialization
Citations

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

Fields of papers citing papers by K.A. Hua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K.A. Hua. 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 K.A. Hua. The network helps show where K.A. Hua may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003438
2 2004236
3 2004194
4 1997120
5 200267
6 200466
7 200362
8 200454
9 200650
10 200446
11 200838
12 200837
13 200537
14 199532
15 200231
16 200529
17 200423
18 200622
19 200422
20 200518

About K.A. Hua

K.A. Hua is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Signal Processing, Electrical and Electronic Engineering and Sociology and Political Science, having authored 64 papers that have together received 1.9k indexed citations. Recurring topics across this work include Peer-to-Peer Network Technologies (19 papers), Distributed systems and fault tolerance (11 papers), Data Management and Algorithms (10 papers), Caching and Content Delivery (10 papers), Image Retrieval and Classification Techniques (10 papers), Advanced Data Storage Technologies (10 papers), Mobile Ad Hoc Networks (9 papers) and Multimedia Communication and Technology (8 papers). The work is most often cited by research in Computer Networks and Communications (1.5k citations), Signal Processing (274 citations), Computer Vision and Pattern Recognition (471 citations), Sociology and Political Science (438 citations) and Transportation (45 citations). K.A. Hua has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Duc A. Tran, M.A. Tantaoui, Wallapak Tavanapong, Shiann‐Tsong Sheu, Ying Cai, Khanh Vu, Guohong Cao, Rui Peng, Yao-Hua Ho and Ning Yu. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Computers, IEEE Journal on Selected Areas in Communications, IEEE Transactions on Broadcasting and IEEE Transactions on Intelligent Transportation Systems.

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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