Dan Dai

439 citations
21 papers · 344 · h-index 11

Impact in

Papers in

Dan Dai

20 papers receiving 340 citations

Peers

Dan Dai
Comparison fields: 5 of 57
  • Water Science and Technology 172
  • Geochemistry and Petrology 26
  • Ocean Engineering 59
  • Environmental Engineering 49
  • Nutrition and Dietetics 42
Replace Felipe I. Arreguín-Cortés with:
Felipe I. Arreguín-Cortés Mexico
Frederick N.-F. Chou Taiwan
Amr Fleifle Egypt
Tom Myers United States
José Paulo Soares de Azevedo Brazil
Zahra Karimidastenaei Finland
Phoolendra Kumar Mishra United States
Craig D. Zamuda United States
Kristine Uhlman United States
Dan Dai relative to Felipe I. Arreguín-Cortés Mexico Felipe I. Arreguín-Cortés's profile →
Citations per field
00.5×5.8×
Felipe I. Arreguín-Cortés · 1×
Citations per year

Countries citing papers authored by Dan Dai

Since Specialization
Citations

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

Fields of papers citing papers by Dan Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201966
2 202250
3 202043
4 201438
5 202021
6 201220
7 202219
8 201619
9 202115
10
A low-power 60-GHz CMOS transceiver for WiGig applications
201311
11 202310
12 20129
13 20136
14 20204
15 20123
16 20243
17 20232
18 20192
19 20212
20 20251

About Dan Dai

Dan Dai is a scholar working on Water Science and Technology, Electrical and Electronic Engineering, Mechanical Engineering, Ocean Engineering and Mechanics of Materials, having authored 21 papers that have together received 344 indexed citations. Recurring topics across this work include Innovative Energy Harvesting Technologies (5 papers), Energy Harvesting in Wireless Networks (5 papers), Water resources management and optimization (4 papers), Water Quality and Pollution Assessment (4 papers), Wireless Power Transfer Systems (4 papers), Water Resources and Sustainability (4 papers), Soil and Water Nutrient Dynamics (3 papers) and Land Use and Ecosystem Services (3 papers). The work is most often cited by research in Water Science and Technology (172 citations), Geochemistry and Petrology (26 citations), Ocean Engineering (59 citations), Environmental Engineering (49 citations) and Nutrition and Dietetics (42 citations). Dan Dai has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Mingdong Sun, Kun Lei, Jing Liu, Jing Liu, Hua Zhang, Kun Lei, Roy Brouwer, Angelos Alamanos, Rui Wang and Yu Tao. Their work appears in journals such as Environmental Science and Pollution Research, IEEE Transactions on Consumer Electronics, Water, Physica A Statistical Mechanics and its Applications and Powder Technology.

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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