Runnan Chen

408 total citations
10 papers, 201 citations indexed

About

Runnan Chen is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Oral Surgery. According to data from OpenAlex, Runnan Chen has authored 10 papers receiving a total of 201 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 3 papers in Computational Mechanics and 2 papers in Oral Surgery. Recurrent topics in Runnan Chen's work include 3D Shape Modeling and Analysis (3 papers), Dental Radiography and Imaging (2 papers) and Human Pose and Action Recognition (2 papers). Runnan Chen is often cited by papers focused on 3D Shape Modeling and Analysis (3 papers), Dental Radiography and Imaging (2 papers) and Human Pose and Action Recognition (2 papers). Runnan Chen collaborates with scholars based in China, Hong Kong and Singapore. Runnan Chen's co-authors include Wenping Wang, Zhiming Cui, Nenglun Chen, Changjian Li, Dinggang Shen, Yuanfeng Zhou, Lingdong Kong, Ziwei Liu, Xin Li and Liang Pan and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Medical Imaging and The International Journal of Biochemistry & Cell Biology.

In The Last Decade

Runnan Chen

9 papers receiving 198 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Runnan Chen China	5	99	78	42	30	30	10	201
Nenglun Chen Hong Kong	7	91 0.9×	101 1.3×	33 0.8×	74 2.5×	39 1.3×	10	249
Qing Yu China	6	177 1.8×	37 0.5×	50 1.2×	28 0.9×	34 1.1×	20	254
Christian Knoll Germany	7	105 1.1×	112 1.4×	64 1.5×	15 0.5×	43 1.4×	15	274
Mingquan Zhou China	9	62 0.6×	206 2.6×	31 0.7×	70 2.3×	19 0.6×	29	295
Stefano Allegretti Italy	8	60 0.6×	68 0.9×	36 0.9×	6 0.2×	26 0.9×	13	187
P.L. Lin Taiwan	8	228 2.3×	99 1.3×	96 2.3×	4 0.1×	65 2.2×	18	331
J. Graham United Kingdom	4	13 0.1×	116 1.5×	30 0.7×	15 0.5×	17 0.6×	6	186
Darko Katić Germany	6	12 0.1×	96 1.2×	89 2.1×	6 0.2×	31 1.0×	21	241
Martin Bergtholdt Germany	7	44 0.4×	104 1.3×	109 2.6×	4 0.1×	39 1.3×	17	262
Lanzhuju Mei China	4	153 1.5×	19 0.2×	81 1.9×	4 0.1×	60 2.0×	9	226

Countries citing papers authored by Runnan Chen

Since Specialization

Citations

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

Fields of papers citing papers by Runnan Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Runnan Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Runnan Chen. A scholar is included among the top collaborators of Runnan Chen 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 Runnan Chen. Runnan Chen 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.

Wang, Zhaoqing, Xiaobo Xia, Runnan Chen, et al.. (2025). LaVin-DiT: Large Vision Diffusion Transformer. 20060–20070.

2.

Kong, Lingdong, Youquan Liu, Runnan Chen, et al.. (2025). LargeAD: Large-Scale Cross-Sensor Data Pretraining for Autonomous Driving. IEEE Transactions on Pattern Analysis and Machine Intelligence. 48(2). 1291–1308. 1 indexed citations

3.

Sun, Yujing, et al.. (2024). HUNTER: Unsupervised Human-Centric 3D Detection via Transferring Knowledge from Synthetic Instances to Real Scenes. 28120–28129. 3 indexed citations

4.

Chen, Runnan, et al.. (2023). Bridging Language and Geometric Primitives for Zero-shot Point Cloud Segmentation. 5380–5388. 5 indexed citations

5.

Kong, Lingdong, Youquan Liu, Xin Li, et al.. (2023). Robo3D: Towards Robust and Reliable 3D Perception against Corruptions. 19937–19949. 47 indexed citations

6.

Chen, Runnan, et al.. (2022). CircUBXN7 suppresses cell proliferation and facilitates cell apoptosis in lipopolysaccharide-induced cell injury by sponging miR-622 and regulating the IL6ST/JAK1/STAT3 axis. The International Journal of Biochemistry & Cell Biology. 153. 106313–106313. 3 indexed citations

7.

Chen, Runnan, et al.. (2022). Structure-Aware Long Short-Term Memory Network for 3D Cephalometric Landmark Detection. IEEE Transactions on Medical Imaging. 41(7). 1791–1801. 25 indexed citations

8.

Chen, Runnan, Wenzhe Wang, Nenglun Chen, et al.. (2021). PR-Net: Preference Reasoning for Personalized Video Highlight Detection. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 7960–7969. 8 indexed citations

9.

Cui, Zhiming, Changjian Li, Nenglun Chen, et al.. (2020). TSegNet: An efficient and accurate tooth segmentation network on 3D dental model. Medical Image Analysis. 69. 101949–101949. 105 indexed citations

10.

Liu, Fang, Mingming Sun, Jiangyan Xu, et al.. (2020). Rapid visible light catalytic reduction of Cr(VI) over amorphous g-C3N4 modified palygorskite composite via a charge-transfer-surface complex-mediated pathway. FlatChem. 20. 100153–100153. 4 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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