Chang‐Min Kim

1.7k total citations
68 papers, 1.4k citations indexed

About

Chang‐Min Kim is a scholar working on Hepatology, Molecular Biology and Epidemiology. According to data from OpenAlex, Chang‐Min Kim has authored 68 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Hepatology, 12 papers in Molecular Biology and 10 papers in Epidemiology. Recurrent topics in Chang‐Min Kim's work include Hepatocellular Carcinoma Treatment and Prognosis (11 papers), Hepatitis B Virus Studies (8 papers) and Hepatitis C virus research (6 papers). Chang‐Min Kim is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (11 papers), Hepatitis B Virus Studies (8 papers) and Hepatitis C virus research (6 papers). Chang‐Min Kim collaborates with scholars based in South Korea, United States and Japan. Chang‐Min Kim's co-authors include Joong‐Won Park, Woo Jin Lee, Ju Hyun Shim, Joon‐Il Choi, Sun‐Young Kong, Kyung Woo Park, Kwan‐Hyuck Baek, Chang‐Woo Lee, Ji Hoon Kim and Eun Kyung Hong and has published in prestigious journals such as Journal of Molecular Biology, Hepatology and Cancer Research.

In The Last Decade

Chang‐Min Kim

54 papers receiving 1.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chang‐Min Kim South Korea 21 598 355 331 217 179 68 1.4k
Yanhong Wang China 18 641 1.1× 194 0.5× 315 1.0× 283 1.3× 184 1.0× 57 1.1k
Seiya Momosaki Japan 21 225 0.4× 328 0.9× 203 0.6× 338 1.6× 150 0.8× 78 1.3k
Sarun Juengpanich China 17 215 0.4× 498 1.4× 94 0.3× 430 2.0× 203 1.1× 31 1.5k
Du He China 18 103 0.2× 324 0.9× 170 0.5× 338 1.6× 194 1.1× 89 1.2k
Yuting He China 18 92 0.2× 291 0.8× 141 0.4× 282 1.3× 252 1.4× 48 1.0k
Jiasheng Cao China 16 171 0.3× 531 1.5× 76 0.2× 401 1.8× 192 1.1× 53 1.3k
Yuqiang Cheng China 16 285 0.5× 121 0.3× 112 0.3× 115 0.5× 77 0.4× 47 667
Hiroyuki Okuda Japan 22 109 0.2× 621 1.7× 163 0.5× 712 3.3× 252 1.4× 108 1.7k
Sambasiva Rao United States 22 74 0.1× 388 1.1× 403 1.2× 402 1.9× 367 2.1× 49 1.6k
Alexey V. Sorokin United States 22 114 0.2× 1.3k 3.6× 181 0.5× 679 3.1× 219 1.2× 53 2.2k

Countries citing papers authored by Chang‐Min Kim

Since Specialization
Citations

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

Fields of papers citing papers by Chang‐Min Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chang‐Min Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Chang‐Min Kim. A scholar is included among the top collaborators of Chang‐Min 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 Chang‐Min Kim. Chang‐Min 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
1.
Kim, Chang‐Min, et al.. (2025). ShamAIn: Designing Superior Conversational AI Inspired by Shamanism. 1–18. 1 indexed citations
2.
Lee, Young Sun, et al.. (2025). A New Subclass of Carbon-enhanced Metal-poor Stars at Extremely Low Metallicity. The Astrophysical Journal Letters. 991(2). L42–L42.
3.
Kim, Chang‐Min, et al.. (2023). Classification of Alzheimer’s Disease Using Ensemble Convolutional Neural Network With LFA Algorithm. IEEE Access. 11. 143004–143015. 9 indexed citations
4.
Kim, Chang‐Min, et al.. (2023). Skin Lesion Classification Using Hybrid Convolutional Neural Network with Edge, Color, and Texture Information. Applied Sciences. 13(9). 5497–5497. 13 indexed citations
5.
Kim, Chang‐Min, et al.. (2021). Line-Segment Feature Analysis Algorithm for Handwritten-Digits Data Reduction. KIPS Transactions on Software and Data Engineering. 10(4). 125–132. 1 indexed citations
6.
Kim, Chang‐Min, et al.. (2012). A Development of a School Learning Environment Assessment Checklist. The Korean Journal of Educational Methodology Studies. 24(3). 637–657. 1 indexed citations
7.
Woo, Sang Myung, Woo Jin Lee, Sung‐Sik Han, et al.. (2012). Capecitabine plus Cisplatin as First-Line Chemotherapy for Advanced Biliary Tract Cancer: A Retrospective Single-Center Study. Chemotherapy. 58(3). 225–232. 14 indexed citations
8.
Kim, Hwi Young, Joong‐Won Park, Byung‐Ho Nam, et al.. (2011). Survival of patients with advanced hepatocellular carcinoma: Sorafenib versus other treatments. Journal of Gastroenterology and Hepatology. 26(11). 1612–1618. 28 indexed citations
9.
10.
Shim, Ju Hyun, et al.. (2008). Does Postembolization Fever after Chemoembolization Have Prognostic Significance for Survival in Patients with Unresectable Hepatocellular Carcinoma?. Journal of Vascular and Interventional Radiology. 20(2). 209–216. 29 indexed citations
11.
Ha, Geun‐Hyoung, Kwan‐Hyuck Baek, Hyun Soo Kim, et al.. (2007). p53 Activation in Response to Mitotic Spindle Damage Requires Signaling via BubR1-Mediated Phosphorylation. Cancer Research. 67(15). 7155–7164. 42 indexed citations
12.
Park, Yong‐Ki, et al.. (2007). Effects of Berberine on the production of inflammatory mediators from LPS-stimulated BV2 microglial cells. The Korea Journal of Herbology. 22(4). 117–125. 1 indexed citations
13.
Yun, Miyong, Sang Bum Kim, Sunhoo Park, et al.. (2007). Mutation analysis of p31comet gene, a negative regulator of Mad2, in human hepatocellular carcinoma. Experimental & Molecular Medicine. 39(4). 508–513. 15 indexed citations
14.
Park, Joong‐Won, Kyung Woo Park, Hong Suk Park, et al.. (2005). Risk of Hepatitis B Exacerbation is Low After Transcatheter Arterial Chemoembolization Therapy for Patients with HBV-related Hepatocellular Carcinoma: Report of a Prospective Study. The American Journal of Gastroenterology. 100(10). 2194–2200. 52 indexed citations
15.
Kim, Chang‐Min, Hyung‐Min Park, Taesu Kim, Yoon-Kyung Choi, & Soo Young Lee. (2003). FPGA implementation of ICA algorithm for blind signal separation and adaptive noise canceling. IEEE Transactions on Neural Networks. 14(5). 1038–1046. 46 indexed citations
16.
Noh, Taehee, et al.. (2001). The Instructional Effects of Problem-Solving Strategy Emphasizing Planning and Checking Stages and Think-Aloud Paired Problem Solving. Journal of The Korean Association For Science Education. 21(4). 738–744. 1 indexed citations
17.
Noh, Taehee & Chang‐Min Kim. (1999). The Effect of Cooperative Computer-Assisted Instruction on Middle School Students' Learning in Science. Journal of The Korean Association For Science Education. 19(2). 266–274. 1 indexed citations
18.
Noh, Taehee, et al.. (1999). The Effect of Clarified Mapping Strategy and Placement of Analog on Middle School Students' Conceptual Understanding in Science. Journal of The Korean Association For Science Education. 19(1). 107–116. 1 indexed citations
19.
Kwon, Yong-Soo, et al.. (1998). A New Isoflavone Glycoside from Heartwood of Maackia fauriei. 52(6). 527–528. 1 indexed citations
20.
Noh, Taehee, et al.. (1998). The Influences of Computer-Assisted Instruction Emphasizing the Particulate Nature of Matter and Problem-Solving Strategy on High School Students' Learning in Chemistry. Journal of The Korean Association For Science Education. 18(3). 337–345. 1 indexed citations

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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