Yingnian Wu

2.1k total citations · 1 hit paper
37 papers, 1.5k citations indexed

About

Yingnian Wu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Yingnian Wu has authored 37 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 6 papers in Control and Systems Engineering. Recurrent topics in Yingnian Wu's work include Medical Image Segmentation Techniques (3 papers), Music and Audio Processing (3 papers) and Image Retrieval and Classification Techniques (3 papers). Yingnian Wu is often cited by papers focused on Medical Image Segmentation Techniques (3 papers), Music and Audio Processing (3 papers) and Image Retrieval and Classification Techniques (3 papers). Yingnian Wu collaborates with scholars based in China and United States. Yingnian Wu's co-authors include Song Chun Zhu, David Mumford, Bing Ren, Todd Richmond, Roland D. Green, Ming Zheng, Michael Singer, Leah O. Barrera, Tae Hoon Kim and Chunxu Qu and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and Nature Methods.

In The Last Decade

Yingnian Wu

33 papers receiving 1.4k citations

Hit Papers

A high-resolution map of active promoters in the human ge... 2005 2026 2012 2019 2005 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A high-resolution map of active promoters in the human genome
    2005 726 citations Tae Hoon Kim, Leah O. Barrera et al. Nature profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yingnian Wu China 9 738 421 123 91 86 37 1.5k
Kyung-Ah Sohn South Korea 20 440 0.6× 314 0.7× 137 1.1× 244 2.7× 139 1.6× 95 1.3k
David Letscher United States 13 717 1.0× 220 0.5× 39 0.3× 50 0.5× 33 0.4× 33 1.4k
Kenneth R. Castleman United States 20 491 0.7× 411 1.0× 284 2.3× 172 1.9× 93 1.1× 71 1.1k
Jonathan Warrell United Kingdom 18 200 0.3× 1.1k 2.7× 42 0.3× 145 1.6× 178 2.1× 37 1.6k
Lopamudra Mukherjee United States 17 166 0.2× 554 1.3× 62 0.5× 181 2.0× 77 0.9× 42 1.0k
Hong Qin United States 17 731 1.0× 76 0.2× 143 1.2× 140 1.5× 11 0.1× 83 1.2k
Zhi Lü China 17 576 0.8× 238 0.6× 25 0.2× 124 1.4× 90 1.0× 49 1.4k
Andrew J. Bulpitt United Kingdom 16 396 0.5× 197 0.5× 70 0.6× 225 2.5× 9 0.1× 46 931
Yusu Wang United States 25 302 0.4× 461 1.1× 22 0.2× 105 1.2× 14 0.2× 113 1.6k
Zichuan Liu China 18 689 0.9× 406 1.0× 151 1.2× 107 1.2× 141 1.6× 51 1.3k

Countries citing papers authored by Yingnian Wu

Since Specialization
Citations

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

Fields of papers citing papers by Yingnian Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingnian Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Yingnian Wu. A scholar is included among the top collaborators of Yingnian Wu 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 Yingnian Wu. Yingnian Wu 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
1.
Wu, Yingnian, et al.. (2025). The adaptive two-stage ant colony Simulated Annealing Algorithm for solving the Traveling Salesman Problem. RAIRO. Operations research. 59(2). 1199–1213. 2 indexed citations
2.
Liu, Vincent, et al.. (2025). Optimizing blood glucose predictions in type 1 diabetes patients using a stacking ensemble approach. SHILAP Revista de lepidopterología. 18. 100253–100253.
3.
Liu, Vincent, Laura Y. Sue, & Yingnian Wu. (2024). Comparison of machine learning models for predicting 30-day readmission rates for patients with diabetes. 7. 23–23. 1 indexed citations
4.
Wu, Yingnian, et al.. (2023). Production Change Optimization Model of Nonlinear Supply Chain System under Emergencies. Sensors. 23(7). 3718–3718. 4 indexed citations
5.
Wu, Yingnian, et al.. (2023). Research on Real-Time Robust Optimization of Perishable Supply-Chain Systems Based on Digital Twins. Sensors. 23(4). 1850–1850. 7 indexed citations
6.
7.
Wu, Yingnian, et al.. (2023). T-S fuzzy model based event-triggered change control for product and supply chain systems. International Journal of Systems Science. 55(3). 426–439. 2 indexed citations
8.
Zhang, Jiaxing, et al.. (2022). Research on Non-Invasive Blood Glucose Detection Method Based on PSO-GRNN. 70. 137–143. 1 indexed citations
9.
10.
Wu, Yingnian, et al.. (2021). Research on Trajectory Tracking Algorithm Based on LSTM-UKF. 61–65. 4 indexed citations
11.
Zhang, Zijun, Zhicheng Pan, Ying Yi, et al.. (2019). Deep-learning augmented RNA-seq analysis of transcript splicing. Nature Methods. 16(4). 307–310. 67 indexed citations
12.
Guo, Jinxi, et al.. (2018). Deep neural network based i-vector mapping for speaker verification using short utterances. Speech Communication. 105. 92–102. 15 indexed citations
13.
14.
Heinzerling, Keith G., et al.. (2015). Association of gender and genetic ancestry with frequency of methamphetamine use among methamphetamine-dependent Hispanic and non-Hispanic Whites. Drug and Alcohol Dependence. 156. e94–e94. 1 indexed citations
15.
Wu, Yingnian, et al.. (2012). COMPARISONS OF RAY-TRACING AND PARABOLIC EQUATION METHODS FOR THE LARGE-SCALE COMPLEX ELECTROMAGNETIC ENVIRONMENT SIMULATIONS. Advances in Complex Systems. 3(2). 1240005–1240005. 2 indexed citations
16.
17.
Li, Jinhui, Xiaowei Yang, Yingnian Wu, & Steven Shoptaw. (2006). A random‐effects Markov transition model for Poisson‐distributed repeated measures with non‐ignorable missing values. Statistics in Medicine. 26(12). 2519–2532. 7 indexed citations
18.
Kim, Tae Hoon, Leah O. Barrera, Ming Zheng, et al.. (2005). A high-resolution map of active promoters in the human genome. Nature. 436(7052). 876–880. 726 indexed citations breakdown →
19.
Matthysse, Steven, Deborah L. Levy, Yingnian Wu, Donald B. Rubin, & Philip S. Holzman. (1999). Intermittent degradation in performance in schizophrenia. Schizophrenia Research. 40(2). 131–146. 21 indexed citations
20.
Zhu, Song Chun, Yingnian Wu, & D. Mumford. (1996). FRAME: filters, random fields, and minimax entropy towards a unified theory for texture modeling. 686–693. 29 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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