Chang–Jo F. Chung

27 papers receiving 2.1k citations

Chang–Jo F. Chung's Hit Papers

Validation of Spatial Prediction Models for Landslide Hazard Mapping 2003 · 994 citations
9940+7+15Years since publication250500750

Peers

Chang–Jo F. Chung
Comparison fields: 5 of 83
  • Management, Monitoring, Policy and Law 1.5k
  • Safety, Risk, Reliability and Quality 497
  • Global and Planetary Change 1.1k
  • Environmental Engineering 391
  • Atmospheric Science 393
Replace Andrea G. Fabbri with:
Andrea G. Fabbri Canada
Javier Hervás Italy
Simone Sterlacchini Italy
Omar F. Althuwaynee Malaysia
Sansar Raj Meena Italy
Zhice Fang China
Kang-Tsung Chang Taiwan
Ling Peng China
Abhirup Dikshit Australia
Moung-Jin Lee South Korea
Chang–Jo F. Chung relative to Andrea G. Fabbri Canada Andrea G. Fabbri's profile →
Citations per field
00.5×1.5×
Andrea G. Fabbri · 1×
Citations per year

Countries citing papers authored by Chang–Jo F. Chung

Since Specialization
Citations

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

Fields of papers citing papers by Chang–Jo F. Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chang–Jo F. Chung. 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–Jo F. Chung. The network helps show where Chang–Jo F. Chung may publish in the future.

Co-authors

The 18 scholars most cited alongside Chang–Jo F. Chung, 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 Chang–Jo F. Chung Line = papers co-authored together Chang–Jo F. Chung links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Validation of Spatial Prediction Models for Landslide Hazard Mapping
Hit paper breakdown →
2003994
2 1995255
3 2003227
4 1993185
5 200884
6 200381
7 199150
8 200745
9 200643
10 200438
11 201032
12 198919
13 199119
14 200317
15 198313
16 200213
17 200211
18 20089
19 19938
20 19997

About Chang–Jo F. Chung

Chang–Jo F. Chung is a scholar working on Management, Monitoring, Policy and Law, Environmental Engineering, Statistics and Probability, Artificial Intelligence and Geography, Planning and Development, having authored 30 papers that have together received 2.2k indexed citations. Recurring topics across this work include Landslides and related hazards (12 papers), Geochemistry and Geologic Mapping (12 papers), Soil Geostatistics and Mapping (11 papers), Statistical Methods and Inference (4 papers), Geotechnical Engineering and Analysis (3 papers), Cryospheric studies and observations (3 papers), Geographic Information Systems Studies (3 papers) and Statistical Methods in Clinical Trials (2 papers). The work is most often cited by research in Management, Monitoring, Policy and Law (1.5k citations), Safety, Risk, Reliability and Quality (497 citations), Global and Planetary Change (1.1k citations), Environmental Engineering (391 citations) and Atmospheric Science (393 citations). Chang–Jo F. Chung has collaborated with scholars based in Canada, Italy and Netherlands. Frequent co-authors include Andrea G. Fabbri, Juan Remondo, Antonio Cendrero, J.R. Díaz de Terán, A. González, Wooil M. Moon, Alain Demoulin, Xiaolu Gao, Yasushi Asami and Z. Vekerdy. Their work appears in journals such as Geomorphology, Natural Hazards, Computers & Geosciences, Natural Resources Research and Annals of the Institute of Statistical Mathematics.

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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