Nianyi Li

1.4k total citations · 1 hit paper
35 papers, 939 citations indexed

About

Nianyi Li is a scholar working on Computer Vision and Pattern Recognition, Hematology and Molecular Biology. According to data from OpenAlex, Nianyi Li has authored 35 papers receiving a total of 939 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 9 papers in Hematology and 8 papers in Molecular Biology. Recurrent topics in Nianyi Li's work include Advanced Vision and Imaging (7 papers), Acute Myeloid Leukemia Research (6 papers) and Visual Attention and Saliency Detection (6 papers). Nianyi Li is often cited by papers focused on Advanced Vision and Imaging (7 papers), Acute Myeloid Leukemia Research (6 papers) and Visual Attention and Saliency Detection (6 papers). Nianyi Li collaborates with scholars based in United States and China. Nianyi Li's co-authors include Jingyi Yu, Jinwei Ye, Haibin Ling, Yu Ji, Xiaoqin Wang, Maciej A. Mazurowski, Wanling Wu, Qin‐Fen Chen, Yanyu Xu and Junru Wu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Cancer and ACM Transactions on Graphics.

In The Last Decade

Nianyi Li

32 papers receiving 922 citations

Hit Papers

Saliency Detection on Light Field 2014 2026 2018 2022 2014 100 200 300
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. Saliency Detection on Light Field
    2014 329 citations Nianyi Li, Jinwei Ye et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nianyi Li United States 14 615 112 97 97 78 35 939
Dana Cobzaş Canada 17 347 0.6× 18 0.2× 37 0.4× 2 0.0× 54 0.7× 54 943
Changyang Li Australia 14 389 0.6× 85 0.8× 20 0.2× 45 0.5× 208 2.7× 35 734
Dongyue Chen China 11 259 0.4× 57 0.5× 13 0.1× 7 0.1× 99 1.3× 78 446
Bianca S. Gerendas Austria 28 259 0.4× 16 0.1× 22 0.2× 5 0.1× 108 1.4× 107 3.5k
Fan Zhou China 14 194 0.3× 33 0.3× 39 0.4× 2 0.0× 52 0.7× 62 555
Germán González United States 18 181 0.3× 62 0.6× 14 0.1× 2 0.0× 96 1.2× 56 913
Chaoyi Zhang Australia 16 249 0.4× 33 0.3× 15 0.2× 5 0.1× 161 2.1× 57 787
Chenchu Xu China 15 245 0.4× 39 0.3× 51 0.5× 9 0.1× 105 1.3× 35 741
Zhong Liu China 14 233 0.4× 16 0.1× 48 0.5× 74 0.9× 55 657
Pilar Sobrevilla Spain 11 507 0.8× 74 0.7× 28 0.3× 2 0.0× 150 1.9× 42 792

Countries citing papers authored by Nianyi Li

Since Specialization
Citations

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

Fields of papers citing papers by Nianyi Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nianyi Li

This figure shows the co-authorship network connecting the top 25 collaborators of Nianyi Li. A scholar is included among the top collaborators of Nianyi Li 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 Nianyi Li. Nianyi Li 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.
Chalhoub, Reda, et al.. (2024). Unsupervised Coordinate-Based Video Denoising. 1438–1444.
2.
Korte, Alexander, Ethan M. Anderson, Reda Chalhoub, et al.. (2024). Unsupervised Microscopy Video Denoising. 6874–6883.
3.
Saha, Ripon K., Dehao Qin, Nianyi Li, Jinwei Ye, & Suren Jayasuriya. (2024). Turb-Seg-Res: A Segment-then-Restore Pipeline for Dynamic Videos with Atmospheric Turbulence. 25286–25296. 2 indexed citations
4.
Li, Nianyi, Pei Lin, Zhuang Zuo, et al.. (2023). Plasma cell myeloma with RAS/BRAF mutations is frequently associated with a complex karyotype, advanced stage disease, and poorer prognosis. Cancer Medicine. 12(13). 14293–14304. 7 indexed citations
5.
Zhou, Taotao, et al.. (2023). Free-view Face Relighting Using a Hybrid Parametric Neural Model on a SMALL-OLAT Dataset. International Journal of Computer Vision. 131(4). 1002–1021. 3 indexed citations
6.
Li, Shuang, Wanling Wu, Nianyi Li, et al.. (2023). CircZBTB46 predicts poor prognosis and promotes disease progression of myelodysplastic syndromes and acute myeloid leukemia. Clinical and Experimental Medicine. 23(8). 4649–4664. 1 indexed citations
7.
Li, Nianyi, Mingyi Chen, & C. Cameron Yin. (2023). Advances in molecular evaluation of myeloproliferative neoplasms. Seminars in Diagnostic Pathology. 40(3). 187–194. 2 indexed citations
8.
Li, Nianyi, et al.. (2022). Color near-eye display with high exit-pupil uniformity based on optimized meta-grating. Optical Engineering. 61(6). 7 indexed citations
9.
Li, Nianyi, J. M. O’Donnell, Nicholas Said, et al.. (2021). Deep learning-based algorithm for assessment of knee osteoarthritis severity in radiographs matches performance of radiologists. Computers in Biology and Medicine. 133. 104334–104334. 69 indexed citations
10.
Li, Nianyi, Yan Ma, Wei Wang, et al.. (2020). LOC101928834, a novel lncRNA in Wnt/β-catenin signaling pathway, promotes cell proliferation and predicts poor clinical outcome in myelodysplastic syndromes. Clinical Science. 134(11). 1279–1293. 9 indexed citations
11.
Li, Nianyi, et al.. (2020). Dynamic Fluid Surface Reconstruction Using Deep Neural Network. 21–30. 29 indexed citations
12.
13.
Li, Nianyi, Wanling Wu, Mengxue Zhang, et al.. (2020). The Efficacy and Safety of Vitamin C for Iron Supplementation in Adult Patients With Iron Deficiency Anemia. JAMA Network Open. 3(11). e2023644–e2023644. 61 indexed citations
14.
Yin, C. Cameron, Wei Cui, Nianyi Li, et al.. (2019). p53 and β-Catenin Expression Predict Poorer Prognosis in Patients With Anaplastic Large-Cell Lymphoma. Clinical Lymphoma Myeloma & Leukemia. 19(7). e385–e392. 7 indexed citations
15.
16.
Xu, Yanyu, Nianyi Li, Junru Wu, Jingyi Yu, & Shenghua Gao. (2017). Beyond Universal Saliency: Personalized Saliency Prediction with Multi-task CNN. 3887–3893. 17 indexed citations
17.
Li, Nianyi, Qin‐Fen Chen, Jingwen Gu, et al.. (2017). Synergistic inhibitory effects of deferasirox in combination with decitabine on leukemia cell lines SKM-1, THP-1, and K-562. Oncotarget. 8(22). 36517–36530. 14 indexed citations
18.
Li, Nianyi, et al.. (2016). Rotational Crossed-Slit Light Fields. 4405–4413. 2 indexed citations
19.
Zhao, Xiaoli, et al.. (2014). 11q23 abnormalities in adult Chinese patients with hematological malignancies. Medical Oncology. 31(8). 115–115. 1 indexed citations
20.
Li, Nianyi, Jinwei Ye, Yu Ji, Haibin Ling, & Jingyi Yu. (2014). Saliency Detection on Light Field. 2806–2813. 329 indexed citations breakdown →

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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