Shuda Li

621 total citations
7 papers, 159 citations indexed

About

Shuda Li is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Geology. According to data from OpenAlex, Shuda Li has authored 7 papers receiving a total of 159 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 4 papers in Aerospace Engineering and 3 papers in Geology. Recurrent topics in Shuda Li's work include Robotics and Sensor-Based Localization (4 papers), 3D Surveying and Cultural Heritage (3 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Shuda Li is often cited by papers focused on Robotics and Sensor-Based Localization (4 papers), 3D Surveying and Cultural Heritage (3 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Shuda Li collaborates with scholars based in United Kingdom and Hong Kong. Shuda Li's co-authors include Victor Adrian Prisacariu, Min Chen, Zirui Wang, Andrew Calway, Kai Han, Ankur Handa, Yang Zhang, Kai Han, Rigas Kouskouridas and David Mitchell and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, The HKU Scholars Hub (University of Hong Kong) and Explore Bristol Research.

In The Last Decade

Shuda Li

7 papers receiving 152 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shuda Li United Kingdom	4	139	62	28	20	19	7	159
Russ Webb United States	2	114 0.8×	39 0.6×	21 0.8×	26 1.3×	24 1.3×	2	155
Deqing Sun United States	6	165 1.2×	22 0.4×	28 1.0×	13 0.7×	25 1.3×	12	206
Yoni Kasten Israel	7	54 0.4×	24 0.4×	18 0.6×	18 0.9×	15 0.8×	11	95
Martin Garbade Germany	3	74 0.5×	43 0.7×	31 1.1×	32 1.6×	9 0.5×	4	109
Chengzhou Tang Canada	8	234 1.7×	157 2.5×	20 0.7×	46 2.3×	11 0.6×	14	260
Binbin Huang China	2	85 0.6×	23 0.4×	39 1.4×	19 0.9×	50 2.6×	4	137
Tuo Feng China	7	74 0.5×	27 0.4×	28 1.0×	31 1.6×	4 0.2×	7	124
Duygu Ceylan United States	5	129 0.9×	20 0.3×	22 0.8×	27 1.4×	36 1.9×	11	150
Daeyun Shin United States	3	126 0.9×	33 0.5×	87 3.1×	46 2.3×	47 2.5×	5	166
Nicholas A. Lord United Kingdom	6	167 1.2×	136 2.2×	14 0.5×	54 2.7×	6 0.3×	8	198

Countries citing papers authored by Shuda Li

Since Specialization

Citations

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

Fields of papers citing papers by Shuda Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuda Li

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

7 of 7 papers shown

1.

Han, Kai, et al.. (2023). DualRC: A Dual-Resolution Learning Framework With Neighbourhood Consensus for Visual Correspondences. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(1). 236–249. 1 indexed citations

2.

Li, Shuda, et al.. (2021). X Resolution Correspondence Networks. 3 indexed citations

3.

Li, Shuda, et al.. (2020). Correspondence Networks With Adaptive Neighbourhood Consensus. The HKU Scholars Hub (University of Hong Kong). 10193–10202. 52 indexed citations

4.

Wang, Zirui, et al.. (2020). FlowNet3D++: Geometric Losses For Deep Scene Flow Estimation. 91–98. 68 indexed citations

5.

Li, Shuda & Andrew Calway. (2016). Absolute pose estimation using multiple forms of correspondences from RGB-D frames. Bristol Research (University of Bristol). 25. 4756–4761. 3 indexed citations

6.

Li, Shuda, Ankur Handa, Yang Zhang, & Andrew Calway. (2016). HDRFusion: HDR SLAM Using a Low-Cost Auto-Exposure RGB-D Sensor. Bristol Research (University of Bristol). 314–322. 18 indexed citations

7.

Li, Shuda & Andrew Calway. (2015). RGBD relocalisation using pairwise geometry and concise key point sets. Explore Bristol Research. 6374–6379. 14 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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