Bing-Chen Jhong

427 citations
19 papers · 324 indexed · h-index 11
Topics
Flood Risk Assessment and Management (13 papers)Hydrological Forecasting Using AI (12 papers)Meteorological Phenomena and Simulations (7 papers)
Partner nations
TaiwanJapanUnited States

In The Last Decade

Bing-Chen Jhong

18 papers receiving 319 citations

Peers

Bing-Chen Jhong
Comparison fields: 5 of 41
  • Global and Planetary Change 234
  • Environmental Engineering 172
  • Water Science and Technology 121
  • Atmospheric Science 116
  • Ocean Engineering 23
Replace Roberto Bentivoglio with:
Roberto Bentivoglio Netherlands
Hung-Wei Tseng Taiwan
Vinh Ngoc Tran United States
Matin Rahnamay Naeini United States
Scott Sinclair South Africa
Tsun-Hua Yang Taiwan
Paúl Muñoz Ecuador
Zhangkang Shu China
Pratiman Patel India
Boosik Kang South Korea
Bing-Chen Jhong relative to Roberto Bentivoglio Netherlands Roberto Bentivoglio's profile →
Citations per field
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Roberto Bentivoglio · 1×
Citations per year

Countries citing papers authored by Bing-Chen Jhong

Since Specialization
Citations

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

Fields of papers citing papers by Bing-Chen Jhong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bing-Chen Jhong. 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 Bing-Chen Jhong. The network helps show where Bing-Chen Jhong may publish in the future.

Co-authorship network of co-authors of Bing-Chen Jhong

This figure shows the co-authorship network connecting the top 25 collaborators of Bing-Chen Jhong. A scholar is included among the top collaborators of Bing-Chen Jhong 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 Bing-Chen Jhong. Bing-Chen Jhong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
#WorkIndexed citations
1 0
2 11
3 24
4 5
5 3
6 11
7 7
8 2
9 3
10 10
11 19
12 20
13 8
14 21
15 32
16 53
17 12
18 41
19 42

About Bing-Chen Jhong

Bing-Chen Jhong is a scholar working on Environmental Engineering, Global and Planetary Change and Atmospheric Science, having authored 19 papers that have together received 324 indexed citations. Recurring topics across this work include Flood Risk Assessment and Management (13 papers), Hydrological Forecasting Using AI (12 papers) and Meteorological Phenomena and Simulations (7 papers). The work is most often cited by research in Environmental Engineering (172 citations), Global and Planetary Change (234 citations) and Water Science and Technology (121 citations). Bing-Chen Jhong has collaborated with scholars based in Taiwan, Japan and United States. Frequent co-authors include Gwo‐Fong Lin, Ching‐Pin Tung, Chia‐Chuan Chang, Cheng‐Han Tsai, Hao‐Che Ho, Yih‐Chi Tan, Chung‐Yi Lin, Tomohiro Tanaka, Parmeshwar Udmale and Yasuto Tachikawa. Their work appears in journals such as Journal of Hydrology, Natural Hazards and Water Resources Management.

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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