Xian-Feng Han

1.7k total citations · 2 hit papers
28 papers, 1.1k citations indexed

About

Xian-Feng Han is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Geology. According to data from OpenAlex, Xian-Feng Han has authored 28 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 14 papers in Computational Mechanics and 11 papers in Geology. Recurrent topics in Xian-Feng Han's work include 3D Shape Modeling and Analysis (13 papers), 3D Surveying and Cultural Heritage (11 papers) and Remote Sensing and LiDAR Applications (7 papers). Xian-Feng Han is often cited by papers focused on 3D Shape Modeling and Analysis (13 papers), 3D Surveying and Cultural Heritage (11 papers) and Remote Sensing and LiDAR Applications (7 papers). Xian-Feng Han collaborates with scholars based in China, Australia and Canada. Xian-Feng Han's co-authors include Jesse S. Jin, Mohammed Bennamoun, Hamid Laga, Wei Jiang, Liping Xiao, Mingjie Wang, Lei Gao, Guoqiang Xiao, Mingjie Wang and Y. J. Jin and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Sensors.

In The Last Decade

Xian-Feng Han

25 papers receiving 1.0k citations

Hit Papers

align trajectories

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.

A review of algorithms for filtering the 3D point cloud

2017 303 citations Xian-Feng Han, Jesse S. Jin et al. profile →
Image-Based 3D Object Reconstruction: State-of-the-Art and Trends in the Deep Learning Era

2019 274 citations Xian-Feng Han et al. profile →

Peers

Xian-Feng Han

CVPR

GEOLO

CM

EE

AE

Hamid Rezatofighi Australia

Zhan Song China

Huan Yang China

Xuran Pan China

Chunxia Xiao China

Robert Bergevin Canada

Lu Sheng China

Leslie Ikemoto United States

Aoran Xiao Singapore

Dayan Guan Singapore

Hamid Rezatofighi Australia

Xian-Feng Han

764 ×1.4

CVPR

183 ×0.6

GEOLO

275 ×0.9

CM

95 ×0.3

EE

200 ×1.3

AE

Citations per year, relative to Xian-Feng Han Xian-Feng Han (= 1×) peers Hamid Rezatofighi

Countries citing papers authored by Xian-Feng Han

Since Specialization

Citations

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

Fields of papers citing papers by Xian-Feng Han

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xian-Feng Han. 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 Xian-Feng Han. The network helps show where Xian-Feng Han may publish in the future.

Co-authorship network of co-authors of Xian-Feng Han

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

20 of 20 papers shown

1.

Jia, Tony Z., et al.. (2025). Visual Grounding in 2D and 3D: A unified perspective and survey. Information Fusion. 126. 103625–103625.

2.

Han, Xian-Feng, et al.. (2025). HM3D: A Lightweight Hierarchical Mamba Model for Efficient 3D Point Cloud Analysis. 81–89.

3.

Han, Xian-Feng, et al.. (2024). PCB-RandNet: Rethinking Random Sampling for LiDAR Semantic Segmentation in Autonomous Driving Scene. 4435–4441. 1 indexed citations

4.

Song, Xiangyu, Huansheng Song, Shijie Sun, et al.. (2024). Yolo-3DMM for Simultaneous Multiple Object Detection and Tracking in Traffic Scenarios. IEEE Transactions on Intelligent Transportation Systems. 25(8). 9467–9481. 11 indexed citations

5.

Han, Xian-Feng, et al.. (2023). TransRVNet: LiDAR Semantic Segmentation With Transformer. IEEE Transactions on Intelligent Transportation Systems. 24(6). 5895–5907. 29 indexed citations

6.

Han, Xian-Feng, et al.. (2023). An Efficient CRT Based Algorithm for Frequency Determination from Undersampled Real Waveform. Sensors. 23(1). 452–452. 3 indexed citations

7.

Zhang, Zecheng, et al.. (2023). IFA-Net: Isomerous Feature-aware Network for Single-view 3D Reconstruction. 34. 1–8.

8.

Liu, Jiahao, et al.. (2023). CA-SSD: Channel-Independent Rare Class Attention for 3D Object Detection. 1–8. 1 indexed citations

9.

Han, Xian-Feng, et al.. (2023). 3D point cloud descriptors: state-of-the-art. Artificial Intelligence Review. 56(10). 12033–12083. 12 indexed citations

10.

Han, Xian-Feng, et al.. (2022). 3CROSSNet: Cross-Level Cross-Scale Cross-Attention Network for Point Cloud Representation. IEEE Robotics and Automation Letters. 7(2). 3718–3725. 23 indexed citations

11.

Han, Xian-Feng, et al.. (2022). Dual Transformer for Point Cloud Analysis. IEEE Transactions on Multimedia. 25. 5638–5648. 65 indexed citations

12.

Han, Xian-Feng, et al.. (2022). Guided normal filter for 3D point clouds. Multimedia Tools and Applications. 82(9). 13797–13810. 1 indexed citations

13.

Wang, Mingjie, et al.. (2022). STNet: Scale Tree Network With Multi-Level Auxiliator for Crowd Counting. IEEE Transactions on Multimedia. 25. 2074–2084. 38 indexed citations

14.

Han, Xian-Feng, et al.. (2021). Novel methods for noisy 3D point cloud based object recognition. Multimedia Tools and Applications. 80(17). 26121–26143. 7 indexed citations

15.

Chen, Tianyu, et al.. (2021). Cascade Attention Blend Residual Network For Single Image Super-Resolution. 559–563. 6 indexed citations

16.

Han, Xian-Feng, et al.. (2021). PGMANet:Pose-Guided Mixed Attention Network for Occluded Person Re-Identification. 1–8. 6 indexed citations

17.

Han, Xian-Feng, Jesse S. Jin, Xie Juan, Mingjie Wang, & Wei Jiang. (2018). A comprehensive review of 3D point cloud descriptors.. arXiv (Cornell University). 30 indexed citations

18.

Han, Xian-Feng, Jesse S. Jin, Mingjie Wang, & Wei Jiang. (2017). Iterative guidance normal filter for point cloud. Multimedia Tools and Applications. 77(13). 16887–16902. 13 indexed citations

19.

Hu, Fei, et al.. (2017). EFFICIENT LIDAR POINT CLOUD DATA MANAGING AND PROCESSINGIN A HADOOP-BASED DISTRIBUTED FRAMEWORK. SHILAP Revista de lepidopterología. IV-4/W2. 121–124. 5 indexed citations

20.

Han, Xian-Feng, Jesse S. Jin, Mingjie Wang, & Wei Jiang. (2017). Guided 3D point cloud filtering. Multimedia Tools and Applications. 77(13). 17397–17411. 42 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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