Liqiang Nie

29.4k total citations · 8 hit papers
410 papers, 14.9k citations indexed

About

Liqiang Nie is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Liqiang Nie has authored 410 papers receiving a total of 14.9k indexed citations (citations by other indexed papers that have themselves been cited), including 279 papers in Computer Vision and Pattern Recognition, 193 papers in Artificial Intelligence and 78 papers in Information Systems. Recurrent topics in Liqiang Nie's work include Multimodal Machine Learning Applications (122 papers), Advanced Image and Video Retrieval Techniques (102 papers) and Topic Modeling (79 papers). Liqiang Nie is often cited by papers focused on Multimodal Machine Learning Applications (122 papers), Advanced Image and Video Retrieval Techniques (102 papers) and Topic Modeling (79 papers). Liqiang Nie collaborates with scholars based in China, Singapore and Australia. Liqiang Nie's co-authors include Tat‐Seng Chua, Xuemeng Song, Xiangnan He, Hanwang Zhang, Wei Liu, Xiang Wang, Luming Zhang, Yinwei Wei, Meng Wang and David S. Rosenblum and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Liqiang Nie

382 papers receiving 14.7k citations

Hit Papers

SCA-CNN: Spatial and Channel-Wise Attention in Convolutio... 2015 2026 2018 2022 2017 2017 2015 2019 2016 400 800 1.2k
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. SCA-CNN: Spatial and Channel-Wise Attention in Convolutional Networks for Image Captioning
    2017 1.4k citations Liqiang Nie, Tat‐Seng Chua et al. profile →
  2. Attentive Collaborative Filtering
    2017 571 citations Liqiang Nie, Tat‐Seng Chua et al. profile →
  3. From action to activity: Sensor-based activity recognition
    2015 412 citations Liqiang Nie et al. profile →
  4. MMGCN
    2019 361 citations Liqiang Nie, Tat‐Seng Chua et al. profile →
  5. Action2Activity: Recognizing Complex Activities from Sensor Data
    2016 277 citations Liqiang Nie et al. profile →
  6. Interest-aware Message-Passing GCN for Recommendation
    2021 189 citations Fan Liu, Lei Zhu et al. profile →
  7. Contrastive Learning for Cold-Start Recommendation
    2021 165 citations Liqiang Nie, Tat‐Seng Chua et al. profile →
  8. GaussianAvatar: Towards Realistic Human Avatar Modeling from a Single Video via Animatable 3D Gaussians
    2024 47 citations Liqiang Nie et al. profile →

Peers

Liqiang Nie
Richang Hong China
Xiaojin Zhu United States
Tao Mei China
Zi Huang Australia
Steven C. H. Hoi Singapore
Yong Yu China
Changsheng Xu China
Rong Jin United States
Yue Gao China
Tat‐Seng Chua Singapore
Richang Hong China
Liqiang Nie
Citations per year, relative to Liqiang Nie Liqiang Nie (= 1×) peers Richang Hong

Countries citing papers authored by Liqiang Nie

Since Specialization
Citations

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

Fields of papers citing papers by Liqiang Nie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liqiang Nie

This figure shows the co-authorship network connecting the top 25 collaborators of Liqiang Nie. A scholar is included among the top collaborators of Liqiang Nie 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 Liqiang Nie. Liqiang Nie 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.
Hu, Linmei, et al.. (2025). ChatLLM network: More brains, more intelligence. SHILAP Revista de lepidopterología. 6. 45–52.
2.
Tian, Yang, et al.. (2025). CoRe-MMRAG: Cross-Source Knowledge Reconciliation for Multimodal RAG. 32967–32982. 1 indexed citations
3.
Wang, Xiao, Qi Si, Songyan Zhu, et al.. (2025). AdaReTaKe: Adaptive Redundancy Reduction to Perceive Longer for Video-language Understanding. 5417–5432. 1 indexed citations
4.
Li, Yongqi, Wenjie Wang, Leigang Qu, et al.. (2024). Generative Cross-Modal Retrieval: Memorizing Images in Multimodal Language Models for Retrieval and Beyond. 11851–11861. 6 indexed citations
5.
Liao, Lizi, et al.. (2024). Self-chats from Large Language Models Make Small Emotional Support Chatbot Better. 11325–11345. 3 indexed citations
6.
Li, Yongqi, Zhen Zhang, Wenjie Wang, et al.. (2024). Distillation Enhanced Generative Retrieval. 11119–11129.
7.
Li, Xiaoyu, et al.. (2024). Dual-track spatio-temporal learning for urban flow prediction with adaptive normalization. Artificial Intelligence. 328. 104065–104065. 7 indexed citations
8.
Hu, Linmei, et al.. (2024). Multimodal matching-aware co-attention networks with mutual knowledge distillation for fake news detection. Information Sciences. 664. 120310–120310. 15 indexed citations
9.
Hu, Linmei, et al.. (2024). LLM vs Small Model? Large Language Model Based Text Augmentation Enhanced Personality Detection Model. Proceedings of the AAAI Conference on Artificial Intelligence. 38(16). 18234–18242. 6 indexed citations
10.
Liu, Fan, et al.. (2024). Open-Set Synthesis for Free-Viewpoint Human Body Reenactment of Novel Poses. IEEE Transactions on Circuits and Systems for Video Technology. 34(12). 12676–12691. 3 indexed citations
11.
Guo, Yangyang, et al.. (2024). UNK-VQA: A Dataset and a Probe Into the Abstention Ability of Multi-Modal Large Models. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(12). 10284–10296. 2 indexed citations
12.
Wen, Haokun, et al.. (2024). Fine-grained Textual Inversion Network for Zero-Shot Composed Image Retrieval. ArXiv.org. 240–250. 9 indexed citations
13.
Zhang, Zheng, et al.. (2024). Contrastive Incomplete Cross-Modal Hashing. IEEE Transactions on Knowledge and Data Engineering. 36(11). 5823–5834. 3 indexed citations
14.
Liu, Li, et al.. (2023). Source-free Style-diversity Adversarial Domain Adaptation with Privacy-preservation for person re-identification. Knowledge-Based Systems. 283. 111150–111150. 14 indexed citations
15.
Tang, Siyu, et al.. (2023). Aspect-to-Scope Oriented Multi-view Contrastive Learning for Aspect-based Sentiment Analysis. 10902–10913. 2 indexed citations
16.
Zhang, Huaxiang, et al.. (2023). Multi-level adversarial attention cross-modal hashing. Signal Processing Image Communication. 117. 117017–117017. 3 indexed citations
17.
Hu, Yupeng, et al.. (2021). Video Moment Localization via Deep Cross-Modal Hashing. IEEE Transactions on Image Processing. 30. 4667–4677. 68 indexed citations
18.
Lü, Wei, Desheng Li, Liqiang Nie, Peiguang Jing, & Yuting Su. (2021). Learning Dual Low-Rank Representation for Multi-Label Micro-Video Classification. IEEE Transactions on Multimedia. 25. 77–89. 10 indexed citations
19.
Jing, Peiguang, et al.. (2020). Learning robust affinity graph representation for multi-view clustering. Information Sciences. 544. 155–167. 51 indexed citations
20.
Hu, Linmei, et al.. (2019). Improving Distantly-Supervised Relation Extraction with Joint Label Embedding. Monash University Research Portal (Monash University). 3819–3827. 30 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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