Chao Dai

80 papers receiving 3.0k citations

Chao Dai's Hit Papers

HiChIP: efficient and sensitive analysis of protein-directed genome architecture 2016 · 696 citations
6960+3+6Years since publication200400600

Peers

Chao Dai
Comparison fields: 5 of 145
  • Water Science and Technology 420
  • Ocean Engineering 356
  • Molecular Biology 1.5k
  • Global and Planetary Change 327
  • Cell Biology 230
Replace Li Zeng with:
Li Zeng China
Xiaoling Sun China
Günther Fischer Germany
Yongbo Liu China
Tingxi Liu China
Magnus Persson Sweden
Jianwei Wei China
Pieter de Jong United States
Iain Brown United Kingdom
Agnès Bégué France
Chao Dai relative to Li Zeng China Li Zeng's profile →
Citations per field
00.5×3.0×
Li Zeng · 1×
Citations per year

Countries citing papers authored by Chao Dai

Since Specialization
Citations

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

Fields of papers citing papers by Chao Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1
HiChIP: efficient and sensitive analysis of protein-directed genome architecture
Hit paper breakdown →
2016696
2 2010224
3 2012219
4 2015179
5 2016135
6 2014131
7 2011100
8 201892
9 201883
10 201365
11 201965
12 201859
13 201444
14 201338
15 201636
16 201735
17 201233
18 201932
19 201531
20 201630

About Chao Dai

Chao Dai is a scholar working on Ocean Engineering, Water Science and Technology, Molecular Biology, Global and Planetary Change and Management Science and Operations Research, having authored 86 papers that have together received 3.0k indexed citations. Recurring topics across this work include Water resources management and optimization (28 papers), Hydrology and Watershed Management Studies (17 papers), Water-Energy-Food Nexus Studies (12 papers), Genomics and Chromatin Dynamics (8 papers), Flood Risk Assessment and Management (6 papers), Climate variability and models (6 papers), Optimization and Mathematical Programming (5 papers) and Water Systems and Optimization (5 papers). The work is most often cited by research in Water Science and Technology (420 citations), Ocean Engineering (356 citations), Molecular Biology (1.5k citations), Global and Planetary Change (327 citations) and Cell Biology (230 citations). Chao Dai has collaborated with scholars based in China, Singapore and Canada. Frequent co-authors include Adam J. Rubin, Paul A. Khavari, Howard Y. Chang, Maxwell R. Mumbach, William J. Greenleaf, Xianghong Jasmine Zhou, Xiaosheng Qin, Yanpeng Cai, Guohe Huang and Hu Guo. Their work appears in journals such as Journal of Hydrology, Energy, Ecological Indicators, Journal of Environmental Management and Journal of Cleaner Production.

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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