Mo Li

697 total citations
24 papers, 457 citations indexed

About

Mo Li is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mo Li has authored 24 papers receiving a total of 457 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 9 papers in Signal Processing and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mo Li's work include Video Coding and Compression Technologies (5 papers), Image and Video Quality Assessment (4 papers) and Data Management and Algorithms (4 papers). Mo Li is often cited by papers focused on Video Coding and Compression Technologies (5 papers), Image and Video Quality Assessment (4 papers) and Data Management and Algorithms (4 papers). Mo Li collaborates with scholars based in China, Australia and United States. Mo Li's co-authors include Yudong Yao, Zhiqiong Wang, Junchang Xin, Huaxia Wang, Hao Zhang, Hanyu Jiang, Chen Li, Yong Zhang, Zhou Xiao-min and Tao Jiang and has published in prestigious journals such as IEEE Access, Agricultural Water Management and Knowledge-Based Systems.

In The Last Decade

Mo Li

17 papers receiving 427 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mo Li China 5 336 226 147 103 41 24 457
S. Immanuel Alex Pandian India 9 221 0.7× 165 0.7× 132 0.9× 71 0.7× 25 0.6× 29 379
Talha Meraj Pakistan 13 219 0.7× 240 1.1× 122 0.8× 34 0.3× 39 1.0× 24 576
Rahimeh Rouhi Italy 6 278 0.8× 195 0.9× 188 1.3× 90 0.9× 10 0.2× 15 455
Xiaofeng Qi China 8 408 1.2× 261 1.2× 113 0.8× 49 0.5× 9 0.2× 15 560
Yixin Li China 9 373 1.1× 207 0.9× 170 1.2× 41 0.4× 8 0.2× 20 587
Manish Chowdhury India 12 313 0.9× 108 0.5× 349 2.4× 143 1.4× 25 0.6× 26 619
J. Dheeba India 9 315 0.9× 230 1.0× 185 1.3× 60 0.6× 6 0.1× 25 496
Xiangchen Wu China 6 427 1.3× 212 0.9× 147 1.0× 61 0.6× 6 0.1× 9 542

Countries citing papers authored by Mo Li

Since Specialization
Citations

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

Fields of papers citing papers by Mo Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mo Li

This figure shows the co-authorship network connecting the top 25 collaborators of Mo Li. A scholar is included among the top collaborators of Mo 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 Mo Li. Mo 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.
Wang, Chunqing, Liangliang Zhang, Nan Sun, et al.. (2025). Optimizing spatial food crops planting structure under water-energy-food-carbon emissions nexus constraints. Agricultural Water Management. 317. 109666–109666. 1 indexed citations
2.
Gu, Y. T., Mo Li, Yishan Pan, et al.. (2025). HyIE: An internal-external induced embedding for knowledge hypergraph link prediction. Information Fusion. 127. 103744–103744.
3.
Li, Mo, et al.. (2025). Adaptive anchor-based attention networks for large-scale sparse bipartite graph embedding. Knowledge-Based Systems. 329. 114242–114242.
4.
5.
6.
Li, Mo, et al.. (2024). Maximal size constraint community search over bipartite graphs. Knowledge-Based Systems. 297. 111961–111961. 1 indexed citations
7.
Zhang, Kexin, et al.. (2024). Maximizing influence via link prediction in evolving networks. Array. 24. 100366–100366. 2 indexed citations
8.
Li, Sisi, et al.. (2023). Multi-example query over ontology-label knowledge graphs. Computing. 106(7). 2081–2106.
9.
Li, Sisi, et al.. (2022). Example query on ontology-labels knowledge graph based on filter-refine strategy. World Wide Web. 26(1). 343–373. 1 indexed citations
10.
Piao, Haiyin, et al.. (2022). DOMA: Deep Smooth Trajectory Generation Learning for Real-Time UAV Motion Planning. Proceedings of the International Conference on Automated Planning and Scheduling. 32. 662–666. 1 indexed citations
11.
Li, Mo, Farhana Choudhury, Renata Borovica‐Gajic, et al.. (2020). CrashSim: An Efficient Algorithm for Computing SimRank over Static and Temporal Graphs. 1141–1152. 3 indexed citations
12.
Wang, Zhiqiong, Mo Li, Huaxia Wang, et al.. (2019). Breast Cancer Detection Using Extreme Learning Machine Based on Feature Fusion With CNN Deep Features. IEEE Access. 7. 105146–105158. 240 indexed citations
13.
Wang, Zhiqiong, Mo Li, Zhen Xu, et al.. (2018). Improvements to the gastric cancer tumor-node-metastasis staging system based on computer-aided unsupervised clustering. BMC Cancer. 18(1). 706–706. 1 indexed citations
14.
Li, Fangyi, Dong Wang, Shuang Wang, et al.. (2014). Effect of electromagnetic disturbance on the practical QKD system in the smart grid. Chinese Physics B. 23(12). 124201–124201. 10 indexed citations
15.
Li, Mo. (2007). Application of web-based data mining technology in digital libraries. 1 indexed citations
16.
Li, Mo, et al.. (2006). High Performance and High Efficiency Memory Management System for H.264/AVC Application in the Dual-Core Platform. 2006 SICE-ICASE International Joint Conference. 3. 5719–5722. 2 indexed citations
17.
Li, Mo, Ronggang Wang, & Wuchen Wu. (2006). The high throughput and low memory access design of sub-pixel interpolation for H.264/AVC HDTV decoder. 296–301. 3 indexed citations
18.
Li, Mo & Wuchen Wu. (2006). A high throughput binary arithmetic coding engine for h.264/avc. 1914–1918. 1 indexed citations
19.
20.
Wang, Ronggang, Mo Li, Jintao Li, & Yongdong Zhang. (2005). High throughput and low memory access sub-pixel interpolation architecture for H.264/AVC HDTV decoder. IEEE Transactions on Consumer Electronics. 51(3). 1006–1013. 28 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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