Jisu Kim

826 total citations
44 papers, 448 citations indexed

About

Jisu Kim is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Artificial Intelligence. According to data from OpenAlex, Jisu Kim has authored 44 papers receiving a total of 448 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Vision and Pattern Recognition, 7 papers in Automotive Engineering and 7 papers in Artificial Intelligence. Recurrent topics in Jisu Kim's work include Video Surveillance and Tracking Methods (12 papers), Autonomous Vehicle Technology and Safety (7 papers) and Advanced Neural Network Applications (5 papers). Jisu Kim is often cited by papers focused on Video Surveillance and Tracking Methods (12 papers), Autonomous Vehicle Technology and Safety (7 papers) and Advanced Neural Network Applications (5 papers). Jisu Kim collaborates with scholars based in South Korea, United States and United Kingdom. Jisu Kim's co-authors include Euntai Kim, Jeonghyun Baek, Sungjun Hong, Seong‐Ook Jung, Seung H. Kang, Jung Pill Kim, Taehui Na, Heejin Lee, Mario Lorenz and Philipp Klimant and has published in prestigious journals such as IEEE Access, Sensors and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Jisu Kim

36 papers receiving 433 citations

Peers

Jisu Kim
Comparison fields: 5 of 75
  • Computer Vision and Pattern Recognition 213
  • Electrical and Electronic Engineering 126
  • Artificial Intelligence 78
  • Automotive Engineering 61
  • Atomic and Molecular Physics, and Optics 57
Replace Yu‐Cheng Fan with:
Yu‐Cheng Fan Taiwan
Zheng Zhu China
Kil-Houm Park South Korea
Carlos Avilés‐Cruz Mexico
Chih-Yung Chen Taiwan
Kefeng Fan China
Hao Pan China
Joel M. Esposito United States
Jiao Wang China
Yu‐Cheng Fan Taiwan View profile →
Citations per field, relative to Jisu Kim
Jisu Kim · 1×
Citations per year, relative to Jisu Kim
Jisu Kim · 1×

Countries citing papers authored by Jisu Kim

Since Specialization
Citations

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

Fields of papers citing papers by Jisu Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jisu Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Jisu Kim. A scholar is included among the top collaborators of Jisu Kim 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 Jisu Kim. Jisu Kim 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
# Work Indexed citations
1 0
2 19
3 10
4 1
5 9
6
PLLay: Efficient Topological Layer based on Persistent Landscapes
5
7 21
8 3
9 0
10
Time Series Featurization via Topological Data Analysis: an Application to Cryptocurrency Trend Forecasting.
2
11 33
12 22
13 1
14 0
15 18
16 2
17 5
18 5
19
Effects of Comic Strip Conversation on the Social Interaction of Young Children with Developmental Delay in an Inclusive Setting
0
20 2

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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