Daqing Liu

1.6k total citations
22 papers, 836 citations indexed

About

Daqing Liu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Daqing Liu has authored 22 papers receiving a total of 836 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 4 papers in Molecular Biology. Recurrent topics in Daqing Liu's work include Multimodal Machine Learning Applications (11 papers), Domain Adaptation and Few-Shot Learning (10 papers) and Advanced Image and Video Retrieval Techniques (7 papers). Daqing Liu is often cited by papers focused on Multimodal Machine Learning Applications (11 papers), Domain Adaptation and Few-Shot Learning (10 papers) and Advanced Image and Video Retrieval Techniques (7 papers). Daqing Liu collaborates with scholars based in China, Australia and Singapore. Daqing Liu's co-authors include Hanwang Zhang, Zheng-Jun Zha, Feng Wu, Feng Wu, Yongdong Zhang, Xiaoyu Mo, Xiangnan He, Richang Hong, Xuetao Pei and Meng Wang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Biochemical and Biophysical Research Communications and Gene.

In The Last Decade

Daqing Liu

20 papers receiving 820 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daqing Liu China	12	533	292	158	106	54	22	836
Pingjun Chen United States	11	176 0.3×	284 1.0×	43 0.3×	53 0.5×	5 0.1×	23	629
Eriko Fukui Japan	11	294 0.6×	38 0.1×	53 0.3×	48 0.5×	22 0.4×	43	583
Philipp Kainz Austria	10	404 0.8×	605 2.1×	97 0.6×	36 0.3×	10 0.2×	17	1.1k
Guidong Song China	9	418 0.8×	171 0.6×	46 0.3×	63 0.6×	4 0.1×	13	831
Bassem Ben Cheikh France	6	344 0.6×	443 1.5×	136 0.9×	64 0.6×	7 0.1×	18	778
Jun Shi China	14	139 0.3×	53 0.2×	117 0.7×	28 0.3×	7 0.1×	53	517
Xiangru Huang China	13	90 0.2×	129 0.4×	202 1.3×	27 0.3×	23 0.4×	29	578
Anna Korzyńska Poland	12	115 0.2×	151 0.5×	65 0.4×	35 0.3×	5 0.1×	36	417
Caixia Dong China	12	185 0.3×	179 0.6×	42 0.3×	73 0.7×	9 0.2×	32	563

Countries citing papers authored by Daqing Liu

Since Specialization

Citations

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

Fields of papers citing papers by Daqing Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daqing Liu

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

All Works

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20 of 20 papers shown

Liu, Daqing, et al.. (2024). Decomposing Semantic Shifts for Composed Image Retrieval. Proceedings of the AAAI Conference on Artificial Intelligence. 38(7). 6576–6584. 5 indexed citations

Liu, Daqing, et al.. (2024). MMoT: Mixture-of-Modality-Tokens Transformer for Composed Multimodal Conditional Image Synthesis. International Journal of Computer Vision. 132(9). 3537–3565. 1 indexed citations

Liu, Daqing, et al.. (2024). ESceme: Vision-and-Language Navigation with Episodic Scene Memory. International Journal of Computer Vision. 133(1). 254–274.

Deng, Jiajun, Zhengyuan Yang, Daqing Liu, et al.. (2023). TransVG++: End-to-End Visual Grounding With Language Conditioned Vision Transformer. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(11). 13636–13652. 38 indexed citations

Zhang, Heng, et al.. (2023). Modeling Video as Stochastic Processes for Fine-Grained Video Representation Learning. 2225–2234. 5 indexed citations

Liu, Daqing, et al.. (2023). Eliminating Contextual Prior Bias for Semantic Image Editing via Dual-Cycle Diffusion. IEEE Transactions on Circuits and Systems for Video Technology. 34(2). 1316–1320. 19 indexed citations

Zhang, Heng, et al.. (2023). Exploring Temporal Concurrency for Video-Language Representation Learning. 15522–15532.

Wang, Chaoyue, et al.. (2022). Semantically-Consistent Dynamic Blurry Image Generation for Image Deblurring. Proceedings of the 30th ACM International Conference on Multimedia. 2547–2555. 2 indexed citations

Liu, Daqing, et al.. (2021). Language-Conditioned Region Proposal and Retrieval Network for Referring Expression Comprehension. 14–22. 1 indexed citations

10.

Wang, Meng, et al.. (2020). More Grounded Image Captioning by Distilling Image-Text Matching Model. 4776–4785. 91 indexed citations

11.

Liu, Daqing, Hanwang Zhang, Zheng-Jun Zha, & Feng Wu. (2019). Learning to Assemble Neural Module Tree Networks for Visual Grounding. 4672–4681. 180 indexed citations

12.

Zha, Zheng-Jun, Daqing Liu, Hanwang Zhang, Yongdong Zhang, & Feng Wu. (2019). Context-Aware Visual Policy Network for Fine-Grained Image Captioning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(2). 710–722. 119 indexed citations

13.

Hong, Richang, Daqing Liu, Xiaoyu Mo, Xiangnan He, & Hanwang Zhang. (2019). Learning to Compose and Reason with Language Tree Structures for Visual Grounding. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(2). 684–696. 116 indexed citations

14.

Liu, Daqing, Hanwang Zhang, Zheng-Jun Zha, & Feng Wu. (2018). Explainability by Parsing: Neural Module Tree Networks for Natural Language Visual Grounding.. 2 indexed citations

15.

Chen, Lin, Xiaoyan Xie, Daqing Liu, et al.. (2014). [Study on the induction and differentiation of megakaryocyte progenitor cell derived from umbilical cord blood].. PubMed. 35(3). 187–90. 1 indexed citations

16.

Li, Baowei, Sihan Wang, Daqing Liu, et al.. (2010). Neuronal Restrictive Silencing Factor Silencing Induces Human Amniotic Fluid-Derived Stem Cells Differentiation into Insulin-Producing Cells. Stem Cells and Development. 20(7). 1223–1231. 14 indexed citations

17.

Li, Yan, et al.. (2009). BZW1, a novel proliferation regulator that promotes growth of salivary muocepodermoid carcinoma. Cancer Letters. 284(1). 86–94. 35 indexed citations

18.

Yuan, Hongfeng, Peng Zhang, Lin Chen, et al.. (2008). Overexpression of SPINDLIN1 induces cellular senescence, multinucleation and apoptosis. Gene. 410(1). 67–74. 39 indexed citations

19.

Li, Yanhua, Rui Zhang, Haifa Qiao, et al.. (2007). Generation of insulin‐producing cells from PDX‐1 gene‐modified human mesenchymal stem cells. Journal of Cellular Physiology. 211(1). 36–44. 102 indexed citations

20.

Gao, Yanhong, Wen Yue, Peng Zhang, et al.. (2005). Spindlin1, a novel nuclear protein with a role in the transformation of NIH3T3 cells. Biochemical and Biophysical Research Communications. 335(2). 343–350. 39 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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