Dongho Won

4.5k citations
312 papers · 3.5k · h-index 30

Impact in

Papers in

Dongho Won

282 papers receiving 3.3k citations

Peers

Dongho Won
Comparison fields: 5 of 79
  • Computer Networks and Communications 2.5k
  • Information Systems 2.3k
  • Signal Processing 648
  • Artificial Intelligence 1.4k
  • Media Technology 312
Replace Ruhul Amin with:
Ruhul Amin India
Vanga Odelu India
Hung–Min Sun Taiwan
A. Yao United States
Dong Zheng China
Shucheng Yu United States
Kwangjo Kim South Korea
Huaqun Wang China
Peilin Hong China
Claude Castelluccia France
Dongho Won relative to Ruhul Amin India Ruhul Amin's profile →
Citations per field
00.5×1.6×
Ruhul Amin · 1×
Citations per year

Countries citing papers authored by Dongho Won

Since Specialization
Citations

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

Fields of papers citing papers by Dongho Won

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 312 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997321
2 2014191
3 2005172
4 2005109
5 200976
6 201469
7 200961
8 201760
9 201160
10 201556
11 200951
12 202050
13 201250
14 201449
15 201649
16 200449
17 201649
18 200645
19 201245
20 201641

About Dongho Won

Dongho Won is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition, having authored 312 papers that have together received 3.5k indexed citations. Recurring topics across this work include Advanced Authentication Protocols Security (181 papers), User Authentication and Security Systems (139 papers), Cryptography and Data Security (90 papers), Security in Wireless Sensor Networks (50 papers), Biometric Identification and Security (41 papers), Digital Rights Management and Security (27 papers), Innovation in Digital Healthcare Systems (26 papers) and RFID technology advancements (24 papers). The work is most often cited by research in Computer Networks and Communications (2.5k citations), Information Systems (2.3k citations), Signal Processing (648 citations), Artificial Intelligence (1.4k citations) and Media Technology (312 citations). Dongho Won has collaborated with scholars based in South Korea, Australia and United States. Frequent co-authors include Seungjoo Kim, Youngsook Lee, Junghyun Nam, Younsung Choi, Sang Joon Park, Jaewook Jung, Jiye Kim, Donghoon Lee, Jin Kwak and Namje Park. Their work appears in journals such as Sensors, Lecture notes in computer science, PLoS ONE, Information Sciences and IEEE Transactions on Power Delivery.

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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