Jin B. Hong

1.4k citations
61 papers · 837 indexed · h-index 17
Topics
Network Security and Intrusion Detection (40 papers)Information and Cyber Security (34 papers)Advanced Malware Detection Techniques (26 papers)
Journals
SHILAP Revista de lepidopterologíaIEEE AccessSensors

In The Last Decade

Jin B. Hong

57 papers receiving 800 citations

Peers

Jin B. Hong
Comparison fields: 5 of 48
  • Computer Networks and Communications 671
  • Information Systems 551
  • Signal Processing 360
  • Artificial Intelligence 136
  • Control and Systems Engineering 88
Replace Nayot Poolsappasit with:
Nayot Poolsappasit United States
Ashraf Matrawy Canada
Samaneh Mahdavifar Canada
Altair O. Santin Brazil
Wayne F. Boyer United States
Ankur Chowdhary United States
Giovanni Apruzzese Liechtenstein
Matthew Bernhard United States
Rahim Taheri United Kingdom
Hayretdin Bahşi Estonia
Jin B. Hong relative to Nayot Poolsappasit United States Nayot Poolsappasit's profile →
Citations per field
00.5×6.3×
Nayot Poolsappasit · 1×
Citations per year

Countries citing papers authored by Jin B. Hong

Since Specialization
Citations

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

Fields of papers citing papers by Jin B. Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jin B. Hong. 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 Jin B. Hong. The network helps show where Jin B. Hong may publish in the future.

Co-authorship network of co-authors of Jin B. Hong

This figure shows the co-authorship network connecting the top 25 collaborators of Jin B. Hong. A scholar is included among the top collaborators of Jin B. Hong based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jin B. Hong. Jin B. Hong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 1
4 4
5 1
6 12
7 1
8 4
9 3
10 10
11 2
12 19
13 22
14 22
15 6
16 27
17 2
18 101
19 14
20 17

About Jin B. Hong

Jin B. Hong is a scholar working on Signal Processing, Computer Networks and Communications and Information Systems, having authored 61 papers that have together received 837 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (40 papers), Information and Cyber Security (34 papers) and Advanced Malware Detection Techniques (26 papers). The work is most often cited by research in Signal Processing (360 citations), Computer Networks and Communications (671 citations) and Information Systems (551 citations). Jin B. Hong has collaborated with scholars based in Australia, New Zealand and South Korea. Frequent co-authors include Dong Seong Kim, Mengmeng Ge, Simon Yusuf Enoch, Walter Guttmann, Khaled M. Khan, Noora Fetais, Jong Sou Park, Dijiang Huang, Hooman Alavizadeh and Julian Jang‐Jaccard. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

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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