Daqing Wu

626 citations
22 papers · 487 · h-index 11

Impact in

Papers in

Daqing Wu

21 papers receiving 478 citations

Peers

Daqing Wu
Comparison fields: 5 of 85
  • Industrial and Manufacturing Engineering 128
  • Building and Construction 71
  • Artificial Intelligence 153
  • Business and International Management 8
  • Automotive Engineering 44
Replace Esra’a Alkafaween with:
Esra’a Alkafaween Jordan
Mingjun Ji China
Lvjiang Yin China
Ziang Liu Japan
Awni Hammouri Jordan
Haitong Zhao China
Petr Stodola Czechia
Juxia Xiong China
Tao Ning China
Alberto Costa Singapore
Daqing Wu relative to Esra’a Alkafaween Jordan Esra’a Alkafaween's profile →
Citations per field
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Esra’a Alkafaween · 1×
Citations per year

Countries citing papers authored by Daqing Wu

Since Specialization
Citations

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

Fields of papers citing papers by Daqing Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020105
2 202280
3 202154
4 202449
5 202239
6 202428
7 201620
8 202317
9 202217
10 202213
11 202213
12 202310
13 202110
14 20229
15 20218
16 20207
17 20253
18 20242
19 20221
20 20241

About Daqing Wu

Daqing Wu is a scholar working on Industrial and Manufacturing Engineering, Building and Construction, Automotive Engineering, Management Science and Operations Research and Artificial Intelligence, having authored 22 papers that have together received 487 indexed citations. Recurring topics across this work include Vehicle Routing Optimization Methods (11 papers), Urban and Freight Transport Logistics (7 papers), Advanced Manufacturing and Logistics Optimization (6 papers), Transportation and Mobility Innovations (4 papers), Stock Market Forecasting Methods (4 papers), Energy Load and Power Forecasting (3 papers), Solar Radiation and Photovoltaics (2 papers) and Solar Thermal and Photovoltaic Systems (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (128 citations), Building and Construction (71 citations), Artificial Intelligence (153 citations), Business and International Management (8 citations) and Automotive Engineering (44 citations). Daqing Wu has collaborated with scholars based in China, Egypt and Finland. Frequent co-authors include Yingjie Song, Wu Deng, Xiangbing Zhou, Dan Li, Bin Zhang, Taiyong Li, Yuangang Li, Kang Li, Xiao‐Zhi Gao and Huiling Chen. Their work appears in journals such as Complexity, Energy Conversion and Management, IEEE Transactions on Intelligent Transportation Systems, Journal Européen des Systèmes Automatisés and Journal of Marine Science and 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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