Dan Luo

479 citations
36 papers · 309 · h-index 11

Impact in

Papers in

Dan Luo

32 papers receiving 291 citations

Peers

Dan Luo
Comparison fields: 5 of 75
  • Transportation 76
  • Building and Construction 117
  • Control and Systems Engineering 64
  • Computer Networks and Communications 52
  • Energy Engineering and Power Technology 6
Replace Rúben Costa with:
Rúben Costa Portugal
Wai Kin Chan China
Cao Jianping China
Yun Hui Lin Singapore
Daniel Ayala Spain
Stefano Bilotta Italy
Sandeep Saharan India
Muhammad Ahsan Qureshi Pakistan
Chenhan Zhang China
Dan Luo relative to Rúben Costa Portugal Rúben Costa's profile →
Citations per field
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Citations per year

Countries citing papers authored by Dan Luo

Since Specialization
Citations

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

Fields of papers citing papers by Dan Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202051
2 200730
3 201030
4 202028
5 202122
6 202016
7 201914
8 202213
9 202013
10 202212
11 202110
12 20187
13 20236
14 20066
15 20226
16
Systematic engineering in designing architecture of telecommunications business intelligence system
20035
17 20234
18 20234
19 20184
20 20213

About Dan Luo

Dan Luo is a scholar working on Artificial Intelligence, Building and Construction, Electrical and Electronic Engineering, Control and Systems Engineering and Molecular Biology, having authored 36 papers that have together received 309 indexed citations. Recurring topics across this work include Traffic Prediction and Management Techniques (6 papers), Traffic control and management (4 papers), Big Data and Business Intelligence (3 papers), Topic Modeling (3 papers), Advanced Electrical Measurement Techniques (2 papers), Transportation Planning and Optimization (2 papers), Natural Language Processing Techniques (2 papers) and Multimodal Machine Learning Applications (2 papers). The work is most often cited by research in Transportation (76 citations), Building and Construction (117 citations), Control and Systems Engineering (64 citations), Computer Networks and Communications (52 citations) and Energy Engineering and Power Technology (6 citations). Dan Luo has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Huadóng Ma, Dong Zhao, Chengqi Zhang, Longbing Cao, Desheng Zhang, Lili Zhou, Gang Cui, Liang Liu, Haiyong Luo and Xingquan Zuo. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, IEEE Internet of Things Journal, Genetics Research, Review of Policy Research and Applied Sciences.

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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