Dongil Kim

1.7k citations
125 papers · 1.2k · h-index 16

Impact in

Papers in

Dongil Kim

86 papers receiving 1.1k citations

Peers

Dongil Kim
Comparison fields: 5 of 142
  • Industrial and Manufacturing Engineering 312
  • Control and Systems Engineering 334
  • Statistics, Probability and Uncertainty 80
  • Media Technology 82
  • Artificial Intelligence 200
Replace Yong Yu with:
Yong Yu Japan
Peter O’Donovan United Kingdom
Shenghan Zhou China
Xu Yang China
Jinxin Liu China
Sunil Gupta Australia
Sungho Suh Germany
Dario Antonelli Italy
Chen Zhao China
Fernando Castaño Spain
Dongil Kim relative to Yong Yu Japan Yong Yu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Dongil Kim

Since Specialization
Citations

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

Fields of papers citing papers by Dongil Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 125 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990145
2 200998
3 201093
4 201191
5 201680
6 199675
7 200443
8 199434
9 200632
10 202232
11 200829
12 201628
13 202223
14 200219
15 201319
16 200417
17 202215
18 201114
19
Segmentation of Chinese Long Sentences Using Commas
200413
20 200913

About Dongil Kim

Dongil Kim is a scholar working on Information Systems, Artificial Intelligence, Control and Systems Engineering, Industrial and Manufacturing Engineering and Public Health, Environmental and Occupational Health, having authored 125 papers that have together received 1.2k indexed citations. Recurring topics across this work include Education and Learning Interventions (19 papers), Diverse Approaches in Healthcare and Education Studies (12 papers), Industrial Vision Systems and Defect Detection (11 papers), Education, Safety, and Science Studies (9 papers), Natural Language Processing Techniques (7 papers), Face and Expression Recognition (6 papers), Manufacturing Process and Optimization (6 papers) and Sensorless Control of Electric Motors (6 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (312 citations), Control and Systems Engineering (334 citations), Statistics, Probability and Uncertainty (80 citations), Media Technology (82 citations) and Artificial Intelligence (200 citations). Dongil Kim has collaborated with scholars based in South Korea, United Kingdom and United States. Frequent co-authors include Sungzoon Cho, Pilsung Kang, Hyoungjoo Lee, In-Joong Ha, Myoung‐Sam Ko, Seokho Kang, Jae Wook Jeon, Ho‐Young Lee, Sungbin Cho and Jong-Hyeok Lee. Their work appears in journals such as Expert Systems with Applications, Pattern Analysis and Applications, Computers & Industrial Engineering, The International Journal of Biochemistry & Cell Biology and ACS Nano.

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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