Dan Yu

947 citations
17 papers · 717 · 1 hit paper · h-index 8

Impact in

Papers in

Dan Yu

16 papers receiving 686 citations

Dan Yu's Hit Papers

Neighborhood classifiers 2006 · 412 citations
4120+6+13Years since publication100200300400

Peers

Dan Yu
Comparison fields: 5 of 79
  • Computational Theory and Mathematics 488
  • Information Systems 309
  • Artificial Intelligence 342
  • Management Science and Operations Research 110
  • Signal Processing 55
Replace Lixiang Shen with:
Lixiang Shen China
Wenhao Shu China
Xianyong Zhang China
Xiubin Zhu China
Xiaodong Fan China
Dantong Ouyang China
Khaled Mellouli Tunisia
Prakash Shelokar India
Dan Yu relative to Lixiang Shen China Lixiang Shen's profile →
Citations per field
00.5×4.1×
Lixiang Shen · 1×
Citations per year

Countries citing papers authored by Dan Yu

Since Specialization
Citations

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

Fields of papers citing papers by Dan Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1
Neighborhood classifiers
Hit paper breakdown →
2006412
2 2007135
3 201860
4 200756
5 200614
6 20238
7 20117
8 20217
9 20205
10 20055
11 20092
12 20242
13 20041
14 20221
15 20221
16
Optimal Design of Well Spacing in Foundation Pit Multi-well Dewatering Based on Objective Function
20131
17 20210

About Dan Yu

Dan Yu is a scholar working on Electrical and Electronic Engineering, Information Systems, Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications, having authored 17 papers that have together received 717 indexed citations. Recurring topics across this work include Indoor and Outdoor Localization Technologies (5 papers), Rough Sets and Fuzzy Logic (5 papers), Data Mining Algorithms and Applications (4 papers), Privacy-Preserving Technologies in Data (3 papers), Service-Oriented Architecture and Web Services (2 papers), Imbalanced Data Classification Techniques (2 papers), Scientific Computing and Data Management (2 papers) and Business Process Modeling and Analysis (1 paper). The work is most often cited by research in Computational Theory and Mathematics (488 citations), Information Systems (309 citations), Artificial Intelligence (342 citations), Management Science and Operations Research (110 citations) and Signal Processing (55 citations). Dan Yu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Zhen Xie, Chunlei Wu, Xiao Yang, J LIU, Tianyao Ji, Kaishun Xiahou, Qinghua Wu, Miaoran Li, Yan Ma and Wei Jiang. Their work appears in journals such as Information Sciences, Science China Technological Sciences, IEEE Sensors Journal, IEEE Transactions on Signal Processing and International Journal of Electrical Power & Energy Systems.

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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