Diane Oyen

605 total citations
24 papers, 165 citations indexed

About

Diane Oyen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Diane Oyen has authored 24 papers receiving a total of 165 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 5 papers in Molecular Biology. Recurrent topics in Diane Oyen's work include Bayesian Modeling and Causal Inference (4 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Image Retrieval and Classification Techniques (3 papers). Diane Oyen is often cited by papers focused on Bayesian Modeling and Causal Inference (4 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Image Retrieval and Classification Techniques (3 papers). Diane Oyen collaborates with scholars based in United States, France and Germany. Diane Oyen's co-authors include G. Srinivasan, Yinan Wang, N. Lanza, M. Giselle Fernández-Godino, A. Ollila, Xiaowei Yue, Terran Lane, Carey Legett, Weihong Guo and Liping Yang and has published in prestigious journals such as Journal of Computational Physics, Icarus and Scientific Data.

In The Last Decade

Diane Oyen

19 papers receiving 163 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Diane Oyen United States 7 64 33 30 24 23 24 165
Lane Maria Rabelo Baccarini Brazil 12 76 1.2× 136 4.1× 26 0.9× 26 1.1× 8 0.3× 27 412
Matheus Araújo Marins Brazil 4 29 0.5× 38 1.2× 53 1.8× 14 0.6× 9 0.4× 5 196
Youcef Benmahamed Algeria 9 13 0.2× 44 1.3× 47 1.6× 15 0.6× 37 1.6× 16 320
Edgar O. Reséndiz‐Flores Mexico 11 134 2.1× 88 2.7× 27 0.9× 40 1.7× 6 0.3× 33 320
Jialiang Zhang China 11 24 0.4× 35 1.1× 9 0.3× 4 0.2× 17 0.7× 26 323
Igor Korobiichuk Poland 8 21 0.3× 43 1.3× 23 0.8× 7 0.3× 7 0.3× 58 216
Yuchen He China 9 8 0.1× 63 1.9× 29 1.0× 4 0.2× 11 0.5× 45 219
Wanming Ying China 9 81 1.3× 125 3.8× 17 0.6× 38 1.6× 8 0.3× 11 288
Yu Lei China 8 34 0.5× 11 0.3× 6 0.2× 27 1.1× 266 11.6× 20 387
Luca Puggini United Kingdom 5 8 0.1× 20 0.6× 83 2.8× 11 0.5× 9 0.4× 7 157

Countries citing papers authored by Diane Oyen

Since Specialization
Citations

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

Fields of papers citing papers by Diane Oyen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diane Oyen

This figure shows the co-authorship network connecting the top 25 collaborators of Diane Oyen. A scholar is included among the top collaborators of Diane Oyen 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 Diane Oyen. Diane Oyen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Wu, Jian, et al.. (2023). DeepPatent2: A Large-Scale Benchmarking Corpus for Technical Drawing Understanding. Scientific Data. 10(1). 772–772. 2 indexed citations
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Bärtschi, Andreas, et al.. (2023). Predicting Expressibility of Parameterized Quantum Circuits Using Graph Neural Network. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 401–402. 2 indexed citations
7.
Oyen, Diane, et al.. (2022). DeepPatent: Large scale patent drawing recognition and retrieval. 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 557–566. 8 indexed citations
8.
Wu, Jian, et al.. (2022). Visual descriptor extraction from patent figure captions. ODU Digital Commons (Old Dominion University). 1–5. 3 indexed citations
9.
Wang, Yinan, Diane Oyen, Weihong Guo, et al.. (2021). StressNet - Deep learning to predict stress with fracture propagation in brittle materials. npj Materials Degradation. 5(1). 59 indexed citations
10.
Klein, Natalie, et al.. (2021). Gaussian Process Variational Autoencoders for Generative Modeling of ChemCam Data. 2549. 7052.
11.
Oyen, Diane & Terran Lane. (2021). Leveraging Domain Knowledge in Multitask Bayesian Network Structure Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 26(1). 1091–1097. 2 indexed citations
12.
Biswas, Ayan, Luke Van Roekel, Diane Oyen, et al.. (2021). Fast Gaussian Process Estimation for Large-Scale In Situ Inference using Convolutional Neural Networks. 2021 IEEE International Conference on Big Data (Big Data). 3731–3739. 2 indexed citations
13.
Oyen, Diane, et al.. (2021). Deep spectral CNN for laser induced breakdown spectroscopy. Spectrochimica Acta Part B Atomic Spectroscopy. 178. 106125–106125. 36 indexed citations
14.
Oyen, Diane, et al.. (2020). Learning Shapes on Image Sampled Points with Dynamic Graph CNNs. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1–4. 1 indexed citations
15.
Osthus, Dave, G. Srinivasan, Daniel O’Malley, et al.. (2020). Mesoscale informed parameter estimation through machine learning: A case-study in fracture modeling. Journal of Computational Physics. 420. 109719–109719. 10 indexed citations
16.
Oyen, Diane. (2019). Computationally efficient training of deep neural networks via transfer learning. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 8. 6–6. 1 indexed citations
17.
Yang, Liping, Diane Oyen, & Brendt Wohlberg. (2019). A Novel Algorithm for Skeleton Extraction From Images Using Topological Graph Analysis. 1162–1166. 12 indexed citations
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Yang, Liping, et al.. (2019). A Topological Graph-Based Representation for Denoising Low Quality Binary Images. 3. 1788–1798. 2 indexed citations
19.
Oyen, Diane, Blake Anderson, & Christine M. Anderson‐Cook. (2016). Bayesian Networks with Prior Knowledge for Malware Phylogenetics.. National Conference on Artificial Intelligence. 8 indexed citations
20.
Oyen, Diane & N. Lanza. (2015). Discovering Chemical Structure in ChemCam Targets Using Gaussian Graphical Models: Compositional Trends with Depth. Lunar and Planetary Science Conference. 2940.

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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