Daochang Liu

661 total citations
10 papers, 268 citations indexed

About

Daochang Liu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Daochang Liu has authored 10 papers receiving a total of 268 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 3 papers in Biomedical Engineering. Recurrent topics in Daochang Liu's work include Human Pose and Action Recognition (3 papers), Cardiac, Anesthesia and Surgical Outcomes (2 papers) and Surgical Simulation and Training (2 papers). Daochang Liu is often cited by papers focused on Human Pose and Action Recognition (3 papers), Cardiac, Anesthesia and Surgical Outcomes (2 papers) and Surgical Simulation and Training (2 papers). Daochang Liu collaborates with scholars based in China, Australia and United States. Daochang Liu's co-authors include Tingting Jiang, Yizhou Wang, Rulin Miao, Fei Shan, Ziyu Li, Chang Xu, Tingting Jiang, Qiyue Li, Mubarak Shah and ‪Surya Nepal‬ and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence and International Journal of Computer Assisted Radiology and Surgery.

In The Last Decade

Daochang Liu

9 papers receiving 264 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daochang Liu China	6	213	141	56	30	18	10	268
Xinpeng Ding China	10	218 1.0×	90 0.6×	49 0.9×	40 1.3×	3 0.2×	19	331
Zhouxia Wang China	7	362 1.7×	186 1.3×	27 0.5×	7 0.2×	15 0.8×	12	443
Cédric Penet France	5	122 0.6×	88 0.6×	47 0.8×	46 1.5×		6	186
Yu-Siang Wang Taiwan	8	137 0.6×	162 1.1×	21 0.4×	9 0.3×		10	278
Yawen Cui China	9	95 0.4×	83 0.6×	63 1.1×	24 0.8×	1 0.1×	18	261
Henryk Josiński Poland	8	93 0.4×	49 0.3×	101 1.8×	2 0.1×	23 1.3×	32	219
Faiza Akram Pakistan	5	293 1.4×	193 1.4×	39 0.7×	6 0.2×	2 0.1×	16	476
Miquel Perelló-Nieto United Kingdom	7	90 0.4×	76 0.5×	28 0.5×	12 0.4×		15	180
Will Price United Kingdom	3	255 1.2×	131 0.9×	20 0.4×	3 0.1×	3 0.2×	3	298
Davide Moltisanti Italy	4	265 1.2×	137 1.0×	20 0.4×	3 0.1×	3 0.2×	8	322

Countries citing papers authored by Daochang Liu

Since Specialization

Citations

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

Fields of papers citing papers by Daochang Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daochang Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Daochang Liu. A scholar is included among the top collaborators of Daochang 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 Daochang Liu. Daochang Liu 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:

10 of 10 papers shown

1.

Liu, Daochang, et al.. (2024). DiffAct++: Diffusion Action Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(3). 1644–1659. 3 indexed citations

2.

Liu, Daochang, et al.. (2023). Calibrating a Deep Neural Network with Its Predecessors. 4271–4279. 1 indexed citations

3.

Liu, Daochang, et al.. (2023). Diffusion Action Segmentation. 10105–10115. 29 indexed citations

4.

Chen, Chen, Daochang Liu, Siqi Ma, ‪Surya Nepal‬, & Chang Xu. (2023). Private Image Generation with Dual-Purpose Auxiliary Classifier. 20361–20370. 3 indexed citations

5.

Yang, Huan, et al.. (2023). Learning Degradation-Robust Spatiotemporal Frequency-Transformer for Video Super-Resolution. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(12). 14888–14904. 7 indexed citations

6.

Liu, Daochang, et al.. (2023). Personalized Image Generation for Color Vision Deficiency Population. 22514–22523. 5 indexed citations

7.

Liu, Daochang, et al.. (2022). Contrastive Code-Comment Pre-training. 398–407.

8.

Liu, Daochang, Tingting Jiang, Yizhou Wang, et al.. (2021). Towards Unified Surgical Skill Assessment. 9517–9526. 52 indexed citations

9.

Liu, Daochang, Tingting Jiang, Yizhou Wang, et al.. (2020). Clearness of operating field: a surrogate for surgical skills on in vivo clinical data. International Journal of Computer Assisted Radiology and Surgery. 15(11). 1817–1824. 7 indexed citations

10.

Liu, Daochang, Tingting Jiang, & Yizhou Wang. (2019). Completeness Modeling and Context Separation for Weakly Supervised Temporal Action Localization. 1298–1307. 161 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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