Nianyi Li

1.4k citations
35 papers · 939 indexed · 1 hit paper · h-index 14
Topics
Advanced Vision and Imaging (7 papers)Acute Myeloid Leukemia Research (6 papers)Visual Attention and Saliency Detection (6 papers)
Partner nations
United StatesChina

In The Last Decade

Nianyi Li

32 papers receiving 922 citations

Hit Papers

Saliency Detection on Light Field20142026201820222014100200300

Peers

Nianyi Li
Comparison fields: 5 of 110
  • Computer Vision and Pattern Recognition 615
  • Media Technology 112
  • Cognitive Neuroscience 97
  • Sensory Systems 97
  • Artificial Intelligence 78
Replace Dana Cobzaş with:
Dana Cobzaş Canada
Changyang Li Australia
Chaoyi Zhang Australia
Fernando Vilariño Spain
Germán González United States
Ali Gooya United Kingdom
Xiaobin Hu China
Bianca S. Gerendas Austria
Pilar Sobrevilla Spain
Lei Bi Australia
Nianyi Li relative to Dana Cobzaş Canada Dana Cobzaş's profile →
Citations per field
00.5×10×20×30×40×48.5×
Dana Cobzaş · 1×
Citations per year

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
#WorkIndexed citations
1 0
2 0
3 2
4 7
5 3
6 1
7 2
8 7
9 69
10 9
11 29
12 3
13 61
14 7
15 13
16 17
17 14
18 2
19 1
20
Saliency Detection on Light Fieldbreakdown →
329

About Nianyi Li

Nianyi Li is a scholar working on Computer Graphics and Computer-Aided Design, Hematology and Computer Vision and Pattern Recognition, having authored 35 papers that have together received 939 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (7 papers), Acute Myeloid Leukemia Research (6 papers) and Visual Attention and Saliency Detection (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (615 citations), Sensory Systems (97 citations) and Health Informatics (18 citations). Nianyi Li has collaborated with scholars based in United States and China. Frequent 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. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Cancer and ACM Transactions on Graphics.

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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