Yangding Li

1.5k total citations
50 papers, 1.2k citations indexed

About

Yangding Li is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Yangding Li has authored 50 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cognitive Neuroscience, 16 papers in Computer Vision and Pattern Recognition and 16 papers in Artificial Intelligence. Recurrent topics in Yangding Li's work include Functional Brain Connectivity Studies (18 papers), Face and Expression Recognition (10 papers) and Smoking Behavior and Cessation (8 papers). Yangding Li is often cited by papers focused on Functional Brain Connectivity Studies (18 papers), Face and Expression Recognition (10 papers) and Smoking Behavior and Cessation (8 papers). Yangding Li collaborates with scholars based in China, Australia and New Zealand. Yangding Li's co-authors include Dahua Yu, Kai Yuan, Yanzhi Bi, Jie Tian, Wei Qin, Chenxi Cai, Chenwang Jin, Dan Feng, Xiaoqi Lu and Yajuan Zhang and has published in prestigious journals such as NeuroImage, Brain Research and Human Brain Mapping.

In The Last Decade

Yangding Li

48 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yangding Li China 19 697 304 265 176 167 50 1.2k
Justin Chumbley Switzerland 13 787 1.1× 225 0.7× 100 0.4× 73 0.4× 181 1.1× 31 1.4k
Yuzheng Hu China 20 710 1.0× 259 0.9× 146 0.6× 61 0.3× 47 0.3× 61 1.3k
Ali Khazaee Iran 16 855 1.2× 83 0.3× 105 0.4× 84 0.5× 51 0.3× 27 1.4k
Patrick G. Bissett United States 17 1.2k 1.8× 504 1.7× 113 0.4× 23 0.1× 50 0.3× 32 1.8k
Lionel Rigoux Germany 22 1.0k 1.4× 295 1.0× 59 0.2× 112 0.6× 89 0.5× 35 1.8k
Madhavi Rangaswamy United States 29 1.8k 2.5× 318 1.0× 65 0.2× 76 0.4× 220 1.3× 62 2.7k
Diego Cosmelli Chile 25 1.4k 2.0× 260 0.9× 32 0.1× 69 0.4× 434 2.6× 51 2.3k
Dani S. Bassett United States 20 683 1.0× 147 0.5× 34 0.1× 55 0.3× 85 0.5× 81 1.1k
Kevin Jones United States 18 1.3k 1.9× 207 0.7× 46 0.2× 77 0.4× 279 1.7× 33 2.3k
Jaime S. Ide United States 27 1.8k 2.5× 415 1.4× 36 0.1× 74 0.4× 156 0.9× 73 2.6k

Countries citing papers authored by Yangding Li

Since Specialization
Citations

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

Fields of papers citing papers by Yangding Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yangding Li

This figure shows the co-authorship network connecting the top 25 collaborators of Yangding Li. A scholar is included among the top collaborators of Yangding 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 Yangding Li. Yangding 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.
Li, Yangding, et al.. (2025). Node transfer with graph contrastive learning for class-imbalanced node classification. Neural Networks. 190. 107674–107674.
2.
Li, Yangding, Yangyang Zeng, Xiaoyang Zhao, et al.. (2025). GNN-transformer contrastive learning explores homophily. Information Processing & Management. 62(4). 104103–104103. 2 indexed citations
3.
Li, Yangding, et al.. (2025). Light disentangled graph learning for social recommendation. World Wide Web. 28(3). 2 indexed citations
4.
Li, Yangding, et al.. (2023). Centrality-based Relation aware Heterogeneous Graph Neural Network. Knowledge-Based Systems. 283. 111174–111174. 11 indexed citations
5.
Xu, Yan, Shicong Wang, Min Zhang, et al.. (2021). Reduced midbrain functional connectivity and recovery in abstinent heroin users. Journal of Psychiatric Research. 144. 168–176. 12 indexed citations
6.
Xue, Ting, Fang Dong, Yangding Li, et al.. (2020). The changes of brain functional networks in young adult smokers based on independent component analysis. Brain Imaging and Behavior. 15(2). 788–797. 14 indexed citations
7.
Dong, Fang, Xiaojian Li, Ting Xue, et al.. (2020). Electrophysiological Evidence of Event-Related Potential Changes Induced by 12 h Abstinence in Young Smokers Based on the Flanker Study. Frontiers in Psychiatry. 11. 424–424. 2 indexed citations
8.
Dong, Fang, Yangding Li, Yan Ren, et al.. (2019). 12 h Abstinence-Induced ERP Changes in Young Smokers: Electrophysiological Evidence From a Go/NoGo Study. Frontiers in Psychology. 10. 1814–1814. 14 indexed citations
9.
Zhao, Shuzhi, Yangding Li, Min Li, et al.. (2018). 12-h abstinence-induced functional connectivity density changes and craving in young smokers: a resting-state study. Brain Imaging and Behavior. 13(4). 953–962. 12 indexed citations
10.
Zhang, Yajuan, Min Li, Ruonan Wang, et al.. (2017). Abnormal brain white matter network in young smokers: a graph theory analysis study. Brain Imaging and Behavior. 12(2). 345–356. 27 indexed citations
11.
Bi, Yanzhi, et al.. (2017). 12 h abstinence-induced right anterior insula network pattern changes in young smokers. Drug and Alcohol Dependence. 176. 162–168. 21 indexed citations
12.
Zhang, Yajuan, Yanzhi Bi, Yangding Li, et al.. (2016). Electrophysiological mechanisms of biased response to smoking-related cues in young smokers. Neuroscience Letters. 629. 85–91. 5 indexed citations
13.
Li, Yangding, Kai Yuan, Yanzhi Bi, et al.. (2016). The implication of salience network abnormalities in young male adult smokers. Brain Imaging and Behavior. 11(4). 943–953. 32 indexed citations
14.
Yu, Dahua, Karen M. von Deneen, Lin Luo, et al.. (2016). Functional Connectivity Abnormalities of Brain Regions with Structural Deficits in Young Adult Male Smokers. Frontiers in Human Neuroscience. 10. 494–494. 15 indexed citations
15.
Li, Yangding, Kai Yuan, Yanzhi Bi, et al.. (2016). Neural correlates of 12-h abstinence-induced craving in young adult smokers: a resting-state study. Brain Imaging and Behavior. 11(3). 677–684. 19 indexed citations
16.
Jin, Chenwang, Ting Zhang, Chenxi Cai, et al.. (2015). Abnormal prefrontal cortex resting state functional connectivity and severity of internet gaming disorder. Brain Imaging and Behavior. 10(3). 719–729. 91 indexed citations
17.
Yuan, Kai, Dan Feng, Yangding Li, et al.. (2015). Inhibition control impairments in adolescent smokers: electrophysiological evidence from a Go/NoGo study. Brain Imaging and Behavior. 10(2). 497–505. 36 indexed citations
18.
Cai, Chenxi, Kai Yuan, Dan Feng, et al.. (2015). Striatum morphometry is associated with cognitive control deficits and symptom severity in internet gaming disorder. Brain Imaging and Behavior. 10(1). 12–20. 80 indexed citations
19.
Feng, Dan, Kai Yuan, Yangding Li, et al.. (2015). Intra-regional and inter-regional abnormalities and cognitive control deficits in young adult smokers. Brain Imaging and Behavior. 10(2). 506–516. 33 indexed citations
20.
Li, Yangding, Kai Yuan, Chenxi Cai, et al.. (2015). Reduced frontal cortical thickness and increased caudate volume within fronto-striatal circuits in young adult smokers. Drug and Alcohol Dependence. 151. 211–219. 88 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Justin Chumbley Breakdown of academic impact, for papers by Yuzheng Hu Breakdown of academic impact, for papers by Ali Khazaee Breakdown of academic impact, for papers by Patrick G. Bissett Breakdown of academic impact, for papers by Lionel Rigoux Breakdown of academic impact, for papers by Madhavi Rangaswamy Breakdown of academic impact, for papers by Diego Cosmelli Breakdown of academic impact, for papers by Dani S. Bassett Breakdown of academic impact, for papers by Kevin Jones Breakdown of academic impact, for papers by Jaime S. Ide
Rankless by CCL
2026