Taeho Jo

205 papers receiving 6.6k citations

Taeho Jo's Hit Papers

Deep Learning in Alzheimer's Disease: Diagnostic Classification and Prognostic Prediction Using Neuroimaging Data 2019 · 429 citations
4290+8+16Years since publication200400600

Peers

Taeho Jo
Comparison fields: 5 of 195
  • Condensed Matter Physics 1.4k
  • Electronic, Optical and Magnetic Materials 1.3k
  • Radiation 509
  • Surfaces, Coatings and Films 310
  • Artificial Intelligence 1.4k
Replace Balázs Győrffy with:
Balázs Győrffy Hungary
Hairong Zheng China
Zhong Chen China
Se Hoon Kim South Korea
Xiaohui Xie United States
Dava Newman United States
G. Beni United States
Fred A. Hamprecht Germany
Zhiqiang Cai China
Jun Wang China
Taeho Jo relative to Balázs Győrffy Hungary Balázs Győrffy's profile →
Citations per field
00.5×8.4×
Balázs Győrffy · 1×
Citations per year

Countries citing papers authored by Taeho Jo

Since Specialization
Citations

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

Fields of papers citing papers by Taeho Jo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 220 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A Multiple Resampling Method for Learning from Imbalanced Data Sets
Hit paper breakdown →
2004730
2 2004488
3
RIM1α forms a protein scaffold for regulating neurotransmitter release at the active zone
Hit paper breakdown →
2002466
4
Deep Learning in Alzheimer's Disease: Diagnostic Classification and Prognostic Prediction Using Neuroimaging Data
Hit paper breakdown →
2019429
5 1988336
6 1994290
7 1987222
8 1996179
9 1985153
10 1991148
11 1999118
12 2002110
13 2007109
14 199197
15 198593
16 201088
17 201588
18 200477
19 199676
20 197671

About Taeho Jo

Taeho Jo is a scholar working on Atomic and Molecular Physics, and Optics, Condensed Matter Physics, Artificial Intelligence, Electronic, Optical and Magnetic Materials and Materials Chemistry, having authored 220 papers that have together received 6.8k indexed citations. Recurring topics across this work include Advanced Chemical Physics Studies (47 papers), Rare-earth and actinide compounds (43 papers), Text and Document Classification Technologies (36 papers), Magnetic properties of thin films (22 papers), X-ray Spectroscopy and Fluorescence Analysis (21 papers), Advanced Text Analysis Techniques (19 papers), Magnetic and transport properties of perovskites and related materials (15 papers) and Web Data Mining and Analysis (15 papers). The work is most often cited by research in Condensed Matter Physics (1.4k citations), Electronic, Optical and Magnetic Materials (1.3k citations), Radiation (509 citations), Surfaces, Coatings and Films (310 citations) and Artificial Intelligence (1.4k citations). Taeho Jo has collaborated with scholars based in Japan, South Korea and United States. Frequent co-authors include Nathalie Japkowicz, A. Tanaka, A. Kotani, J.C. Parlebas, Kwangsik Nho, Andrew J. Saykin, S. Imada, G. A. Sawatzky, Martin Geppert and Thomas C. Südhof. Their work appears in journals such as Journal of the Physical Society of Japan, Journal of Magnetism and Magnetic Materials, Journal of Electron Spectroscopy and Related Phenomena, Physica B Condensed Matter and Physical review. B, Condensed matter.

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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