Xiaochen Lian

1.1k total citations
13 papers, 331 citations indexed

About

Xiaochen Lian is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Xiaochen Lian has authored 13 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 2 papers in Media Technology. Recurrent topics in Xiaochen Lian's work include Advanced Image and Video Retrieval Techniques (5 papers), Advanced Neural Network Applications (5 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Xiaochen Lian is often cited by papers focused on Advanced Image and Video Retrieval Techniques (5 papers), Advanced Neural Network Applications (5 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Xiaochen Lian collaborates with scholars based in China, United States and Hong Kong. Xiaochen Lian's co-authors include Bao‐Liang Lu, Bing Li, Mu Li, James T. Kwok, Zhenyu Guo, Ming Wu, Jian Tang, Xi Wang, M. Frans Kaashoek and Zheng Zhang and has published in prestigious journals such as Neurocomputing, Neural Computing and Applications and Networked Systems Design and Implementation.

In The Last Decade

Xiaochen Lian

13 papers receiving 313 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaochen Lian China 8 196 111 83 49 39 13 331
Enrique San Millán Spain 11 117 0.6× 109 1.0× 32 0.4× 30 0.6× 31 0.8× 36 367
Hua Yan China 11 151 0.8× 135 1.2× 44 0.5× 89 1.8× 95 2.4× 55 367
Jonathan Frankle United States 8 244 1.2× 315 2.8× 19 0.2× 21 0.4× 41 1.1× 12 425
Ya-Qin Zhang China 13 176 0.9× 183 1.6× 137 1.7× 159 3.2× 35 0.9× 32 480
K. G. Srinivasagan India 9 154 0.8× 108 1.0× 73 0.9× 41 0.8× 76 1.9× 26 340
Ravi Teja Mullapudi United States 7 192 1.0× 110 1.0× 114 1.4× 6 0.1× 25 0.6× 10 386
Xiaolin Chen China 11 119 0.6× 160 1.4× 140 1.7× 31 0.6× 38 1.0× 61 408
Paul Swoboda Germany 10 127 0.6× 83 0.7× 40 0.5× 15 0.3× 23 0.6× 22 248
Yixiang Wang China 11 57 0.3× 119 1.1× 274 3.3× 46 0.9× 59 1.5× 27 458
J. Austin United Kingdom 8 106 0.5× 124 1.1× 35 0.4× 52 1.1× 36 0.9× 35 258

Countries citing papers authored by Xiaochen Lian

Since Specialization
Citations

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

Fields of papers citing papers by Xiaochen Lian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaochen Lian

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

All Works

13 of 13 papers shown
1.
Deng, Xueqing, Peng Wang, Xiaochen Lian, & Shawn Newsam. (2022). NightLab: A Dual-level Architecture with Hardness Detection for Segmentation at Night. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 16917–16927. 33 indexed citations
2.
Lian, Xiaochen, et al.. (2021). DOA Estimation Based on CNN in L-type Mutual Matrix. 1–6. 1 indexed citations
3.
Zhou, Daquan, Xiaojie Jin, Xiaochen Lian, et al.. (2021). AutoSpace: Neural Architecture Search with Less Human Interference. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 327–336. 5 indexed citations
4.
Ding, Mingyu, Xiaochen Lian, Linjie Yang, et al.. (2021). HR-NAS: Searching Efficient High-Resolution Neural Architectures with Lightweight Transformers. 2981–2991. 35 indexed citations
5.
Mei, Jieru, Yingwei Li, Xiaochen Lian, et al.. (2019). AtomNAS: Fine-Grained End-to-End Neural Architecture Search. arXiv (Cornell University). 14 indexed citations
6.
Yu, Haonan, Xiaochen Lian, Haichao Zhang, & Wei Xu. (2018). Guided Feature Transformation (GFT): A Neural Language Grounding Module for Embodied Agents. 81–98. 1 indexed citations
7.
Lian, Xiaochen. (2017). Video and Image Analysis Using Local Information. eScholarship (California Digital Library). 2 indexed citations
8.
Bonev, Boyán, et al.. (2017). PASCAL Boundaries: A Semantic Boundary Dataset with a Deep Semantic Boundary Detector. 73–81. 4 indexed citations
9.
Wu, Tianxiang, Xiaochen Lian, & Bao‐Liang Lu. (2011). Multi-view gender classification using symmetry of facial images. Neural Computing and Applications. 21(4). 661–669. 19 indexed citations
10.
Li, Bing, Xiaochen Lian, & Bao‐Liang Lu. (2011). Gender classification by combining clothing, hair and facial component classifiers. Neurocomputing. 76(1). 18–27. 62 indexed citations
11.
Li, Mu, Xiaochen Lian, James T. Kwok, & Bao‐Liang Lu. (2011). Time and space efficient spectral clustering via column sampling. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 7. 2297–2304. 45 indexed citations
12.
Lian, Xiaochen, Zhiwei Li, Changhu Wang, Bao‐Liang Lu, & Lei Zhang. (2010). Probabilistic models for supervised dictionary learning. 2305–2312. 24 indexed citations
13.
Liu, Xuezheng, Zhenyu Guo, Xi Wang, et al.. (2008). D 3 S: debugging deployed distributed systems. Networked Systems Design and Implementation. 423–437. 86 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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