D. Yu

22.9k total citations
13 papers, 50 citations indexed

About

D. Yu is a scholar working on Artificial Intelligence, Computer Networks and Communications and Pulmonary and Respiratory Medicine. According to data from OpenAlex, D. Yu has authored 13 papers receiving a total of 50 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Computer Networks and Communications and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in D. Yu's work include Distributed and Parallel Computing Systems (3 papers), Advanced Data Storage Technologies (3 papers) and Anomaly Detection Techniques and Applications (3 papers). D. Yu is often cited by papers focused on Distributed and Parallel Computing Systems (3 papers), Advanced Data Storage Technologies (3 papers) and Anomaly Detection Techniques and Applications (3 papers). D. Yu collaborates with scholars based in United States, Norway and Latvia. D. Yu's co-authors include Douglas T. Reindl, S.A. Klein, Jane Hunter, P. Parygin, J. Dittmann, Christian W. Omlin, J. Hiltbrand, G. Cummings, A. Khukhunaishvili and Justin Kelly and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and SAE technical papers on CD-ROM/SAE technical paper series.

In The Last Decade

D. Yu

8 papers receiving 45 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
D. Yu United States	5	12	11	7	7	6	13	50
Feng Xiong China	3	3 0.3×	14 1.3×		13 1.9×		11	27
Ali Mohd Ali Jordan	5	11 0.9×	16 1.5×		9 1.3×		25	59
Maciej Skórski Poland	4	12 1.0×	4 0.4×		10 1.4×		14	30
P. Nagabhushan India	4	9 0.8×	9 0.8×		4 0.6×		5	33
Binh Tang United States	4	9 0.8×	3 0.3×		8 1.1×		5	65
J. Amoraal Netherlands	3	4 0.3×	5 0.5×		8 1.1×		4	20
Yiannis Tsiounis United States	3	12 1.0×	11 1.0×		6 0.9×		5	21
Till Stegers United States	3	18 1.5×	10 0.9×		3 0.4×		3	20
Cong Phap Huynh Vietnam	2	8 0.7×	4 0.4×		4 0.6×		3	27
S. Gkaitatzis Greece	3	8 0.7×	3 0.3×		8 1.1×		6	21

Countries citing papers authored by D. Yu

Since Specialization

Citations

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

Fields of papers citing papers by D. Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Yu

This figure shows the co-authorship network connecting the top 25 collaborators of D. Yu. A scholar is included among the top collaborators of D. Yu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with D. Yu. D. Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

13 of 13 papers shown

1.

Omlin, Christian W., et al.. (2025). Data Quality Monitoring for the Hadron Calorimeters Using Transfer Learning for Anomaly Detection. Sensors. 25(11). 3475–3475.

2.

Omlin, Christian W., J. Dittmann, P. Parygin, et al.. (2024). Lightweight Multi-System Multivariate Interconnection and Divergence Discovery. 36–43.

3.

Omlin, Christian W., L. Wang, D. Yu, et al.. (2023). Spatio-Temporal Anomaly Detection with Graph Networks for Data Quality Monitoring of the Hadron Calorimeter. Sensors. 23(24). 9679–9679. 4 indexed citations

4.

Yu, D., et al.. (2023). Unusual presentation of a neuroendocrine tumor in the ileostomy specimen after rectal cancer treatment: a case report. Translational Cancer Research. 12(3). 658–662. 1 indexed citations

5.

Yu, D., et al.. (2022). Extracorporeal membrane oxygenation in the care of a preterm infant with COVID-19 infection: Case report. Frontiers in Pediatrics. 10. 953122–953122.

6.

Yu, D., et al.. (2022). The Digital Foundation Platform -A Multi-Layered SOA Architecture for Intelligent Connected Vehicle Operating System. SAE technical papers on CD-ROM/SAE technical paper series. 1. 9 indexed citations

7.

Cummings, G., A. Khukhunaishvili, P. Parygin, et al.. (2022). Long Horizon Anomaly Prediction in Multivariate Time Series with Causal Autoencoders. PHM Society European Conference. 7(1). 21–31. 3 indexed citations

8.

Yu, D., et al.. (2021). Thermal Detection for Free Flight. Journal of Physics Conference Series. 1828(1). 12133–12133.

9.

Yu, D., et al.. (2019). Best Practices in Accessing Tape-Resident Data in HPSS*. SHILAP Revista de lepidopterología. 214. 4022–4022. 1 indexed citations

10.

Yu, D., et al.. (2017). Efficient Access to Massive Amounts of Tape-Resident Data. Journal of Physics Conference Series. 898. 82024–82024.

11.

Yu, D. & Jane Hunter. (2014). X3D Fragment Identifiers — Extending the Open Annotation Model to Support Semantic Annotation of 3D Cultural Heritage Objects over the Web. 3(3). 579–596. 6 indexed citations

12.

Yu, D., et al.. (2011). Tape Storage Optimization at BNL. Journal of Physics Conference Series. 331(4). 42045–42045. 4 indexed citations

13.

Yu, D., S.A. Klein, & Douglas T. Reindl. (2001). An Evaluation of Silica Gel for Humidity Control in Display Cases. 23(2). 14–19. 22 indexed citations

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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