Seungjin Hong

1.0k citations
16 papers · 721 indexed · 1 hit paper · h-index 5
Topics
Hydrological Forecasting Using AI (3 papers)Hydrology and Watershed Management Studies (3 papers)Ecology and Conservation Studies (3 papers)
Journals
EpilepsiaEntropyJournal of Wetlands Research

In The Last Decade

Seungjin Hong

13 papers receiving 674 citations

Hit Papers

SLAW: A New Mobility Model for Human Walks20092026201420202009100200300

Peers

Seungjin Hong
Comparison fields: 5 of 57
  • Computer Networks and Communications 521
  • Transportation 290
  • Electrical and Electronic Engineering 157
  • Computer Science Applications 51
  • Artificial Intelligence 42
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Seungjin Hong relative to Ian Rose United States Ian Rose's profile →
Citations per field
00.5×9.4×
Ian Rose · 1×
Citations per year

Countries citing papers authored by Seungjin Hong

Since Specialization
Citations

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

Fields of papers citing papers by Seungjin Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seungjin Hong

This figure shows the co-authorship network connecting the top 25 collaborators of Seungjin Hong. A scholar is included among the top collaborators of Seungjin 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 Seungjin Hong. Seungjin Hong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
#WorkIndexed citations
1 12
2 1
3 0
4
Study on the Improvement Method of Flood Risk Assessment by Flood Damage Area
1
5 2
6 1
7 0
8 1
9 1
10
A Study on Comparison of Normalization and Weighting Method for Constructing Index about Flood
8
11
Spatial-Temporal Interpolation of Rainfall Using Rain Gauge and Radar
2
12
Dam Break Analysis with HEC-HMS and HEC-RAS
3
13
SLAW: A New Mobility Model for Human Walksbreakdown →
397
14 277
15 14
16
Differential Findings of Ictal EEG Pattern between Mesial and Neocortical Temporal lobe Epilepsies.
1

About Seungjin Hong

Seungjin Hong is a scholar working on Transportation, Water Science and Technology and Environmental Engineering, having authored 16 papers that have together received 721 indexed citations. Recurring topics across this work include Hydrological Forecasting Using AI (3 papers), Hydrology and Watershed Management Studies (3 papers) and Ecology and Conservation Studies (3 papers). The work is most often cited by research in Transportation (290 citations), Computer Networks and Communications (521 citations) and Computer Science Applications (51 citations). Seungjin Hong has collaborated with scholars based in South Korea, United States and Germany. Frequent co-authors include Injong Rhee, Kyunghan Lee, Song‐Ho Chong, S. J. Kim, Min‐Su Shin, Seung‐Young Roh, Dae‐Won Seo, Hwandon Jun, Jungwook Kim and Hung Soo Kim. Their work appears in journals such as Epilepsia, Entropy and Journal of Wetlands Research.

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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