Dian Li

967 total citations · 1 hit paper
14 papers, 599 citations indexed

About

Dian Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Dian Li has authored 14 papers receiving a total of 599 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 3 papers in Signal Processing. Recurrent topics in Dian Li's work include Multimodal Machine Learning Applications (7 papers), Human Pose and Action Recognition (6 papers) and Video Analysis and Summarization (4 papers). Dian Li is often cited by papers focused on Multimodal Machine Learning Applications (7 papers), Human Pose and Action Recognition (6 papers) and Video Analysis and Summarization (4 papers). Dian Li collaborates with scholars based in China, Malaysia and United States. Dian Li's co-authors include Fan Yin, Xiangju Lu, Yuanliu Liu, Zhanyu Wang, Zhenhua Liu, Xiu Li, Ying Shan, Yixiao Ge, Xiaohu Qie and Xihui Liu and has published in prestigious journals such as IEEE Transactions on Multimedia, Journal of the Indian Society of Remote Sensing and Journal of Image and Graphics.

In The Last Decade

Dian Li

11 papers receiving 582 citations

Hit Papers

align trajectories

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.

Video-based emotion recognition using CNN-RNN and C3D hybrid networks

2016 368 citations Fan Yin, Xiangju Lu et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dian Li China	6	440	241	161	81	44	14	599
Xiangju Lu China	6	363 0.8×	245 1.0×	92 0.6×	134 1.7×	46 1.0×	11	522
Yuanliu Liu China	6	285 0.6×	243 1.0×	74 0.5×	75 0.9×	44 1.0×	10	425
Min Peng China	11	253 0.6×	156 0.6×	119 0.7×	61 0.8×	29 0.7×	29	455
Yante Li Finland	10	249 0.6×	263 1.1×	127 0.8×	65 0.8×	58 1.3×	20	475
Zhanpeng Zhang China	10	571 1.3×	220 0.9×	93 0.6×	128 1.6×	47 1.1×	13	667
Guanming Lu China	11	205 0.5×	199 0.8×	100 0.6×	53 0.7×	69 1.6×	66	452
Anh Cat Le Ngo Malaysia	11	300 0.7×	294 1.2×	89 0.6×	72 0.9×	62 1.4×	15	469
Ciprian Corneanu Spain	8	334 0.8×	283 1.2×	61 0.4×	50 0.6×	69 1.6×	10	541
Dae Hoe Kim South Korea	10	319 0.7×	257 1.1×	220 1.4×	45 0.6×	53 1.2×	31	553

Countries citing papers authored by Dian Li

Since Specialization

Citations

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

Fields of papers citing papers by Dian Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dian Li

This figure shows the co-authorship network connecting the top 25 collaborators of Dian Li. A scholar is included among the top collaborators of Dian 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 Dian Li. Dian Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

14 of 14 papers shown

1.

Li, Dian, et al.. (2025). MetaTool: Facilitating Large Language Models to Master Tools with Meta-task Augmentation. 3–11.

2.

Qian, Rui, Weiyao Lin, John See, & Dian Li. (2024). Controllable augmentations for video representation learning. 2(1). 3 indexed citations

3.

Xie, Mei-Lin, Gang Liu, Jing He, et al.. (2024). Fine Extraction of Cultivated Land Parcels in Chengdu Plain Area Based on CDUSU-Net Network Model of Gaofen-2 Imagery. Journal of the Indian Society of Remote Sensing. 53(6). 1785–1798.

4.

Liu, Shansong, Li Xu, Dian Li, & Ying Shan. (2024). Humtrans: A Novel Open-Source Dataset for Humming Melody Transcription and Beyond. 7915–7919. 2 indexed citations

5.

Liu, Shansong, et al.. (2024). Unified Pretraining Target Based Video-Music Retrieval with Music Rhythm and Video Optical Flow Information. 7890–7894.

6.

Yang, Shusheng, Yixiao Ge, Kun Yi, et al.. (2023). RILS: Masked Visual Reconstruction in Language Semantic Space. 23304–23314. 5 indexed citations

7.

Li, Chen, Yixiao Ge, Dian Li, & Ying Shan. (2023). Vision-Language Instruction Tuning: A Review and Analysis. arXiv (Cornell University). 2 indexed citations

8.

Zeng, Zhaoyang, Yongsheng Luo, Zhenhua Liu, et al.. (2022). Tencent-MVSE: A Large-Scale Benchmark Dataset for Multi-Modal Video Similarity Evaluation. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 3128–3137. 4 indexed citations

9.

Ge, Yixiao, et al.. (2022). Bridging Video-text Retrieval with Multiple Choice Questions. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 16146–16155. 82 indexed citations

10.

Liu, Huabin, Jianguo Li, Dian Li, John See, & Weiyao Lin. (2021). Learning Scale-Consistent Attention Part Network for Fine-Grained Image Recognition. IEEE Transactions on Multimedia. 24. 2902–2913. 26 indexed citations

11.

Li, Dian, et al.. (2021). A Novel Iris Texture Extraction Scheme for Iris Presentation Attack Detection. Journal of Image and Graphics. 9(3). 2 indexed citations

12.

Wang, Zhanyu, et al.. (2021). CLIP4Caption: CLIP for Video Caption. 4858–4862. 84 indexed citations

13.

Qian, Rui, Yuxi Li, Huabin Liu, et al.. (2021). Enhancing Self-supervised Video Representation Learning via Multi-level Feature Optimization. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 7970–7981. 21 indexed citations

14.

Yin, Fan, Xiangju Lu, Dian Li, & Yuanliu Liu. (2016). Video-based emotion recognition using CNN-RNN and C3D hybrid networks. 445–450. 368 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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