Ryong Lee

1.4k citations
70 papers · 1.1k · h-index 17

Impact in

Papers in

Ryong Lee

68 papers receiving 1.0k citations

Peers

Ryong Lee
Comparison fields: 5 of 96
  • Transportation 481
  • Geography, Planning and Development 190
  • Statistical and Nonlinear Physics 282
  • Signal Processing 147
  • Communication 85
Replace Kazutoshi Sumiya with:
Kazutoshi Sumiya Japan
Alberto Rosi Italy
Alvin Chin China
Antonio Lima United Kingdom
Giuseppe Sansonetti Italy
Andrea Marchetti Italy
Manos Papagelis Canada
Sibren Isaacman United States
Cláudio de Souza Baptista Brazil
Eric Hsueh-Chan Lu Taiwan
Ryong Lee relative to Kazutoshi Sumiya Japan Kazutoshi Sumiya's profile →
Citations per field
00.5×1.5×2.0×
Kazutoshi Sumiya · 1×
Citations per year

Countries citing papers authored by Ryong Lee

Since Specialization
Citations

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

Fields of papers citing papers by Ryong Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010238
2 2011136
3 200271
4 201268
5 201155
6 201042
7 201142
8 201338
9 201935
10 201032
11 201131
12 201221
13 201120
14 200217
15 202016
16 200016
17 200916
18 201114
19 201011
20 201510

About Ryong Lee

Ryong Lee is a scholar working on Transportation, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics, Geography, Planning and Development and Signal Processing, having authored 70 papers that have together received 1.1k indexed citations. Recurring topics across this work include Human Mobility and Location-Based Analysis (26 papers), Complex Network Analysis Techniques (18 papers), Geographic Information Systems Studies (16 papers), Data Management and Algorithms (10 papers), Evacuation and Crowd Dynamics (7 papers), Multimedia Communication and Technology (5 papers), Web Data Mining and Analysis (5 papers) and Advanced Image and Video Retrieval Techniques (5 papers). The work is most often cited by research in Transportation (481 citations), Geography, Planning and Development (190 citations), Statistical and Nonlinear Physics (282 citations), Signal Processing (147 citations) and Communication (85 citations). Ryong Lee has collaborated with scholars based in Japan, South Korea and Germany. Frequent co-authors include Kazutoshi Sumiya, Shoko Wakamiya, Myoung Youp Song, Sang-Hwan Lee, Minwoo Park, Wonjun Kim, Koji Zettsu, Daisuke Kitayama, Yumi Kambayashi and Yongjin Kwon. Their work appears in journals such as IEEE Access, Multimedia Tools and Applications, World Wide Web, Electronics and Applied Sciences.

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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