Jian Dou

456 total citations · 1 hit paper
8 papers, 306 citations indexed

About

Jian Dou is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Computational Mechanics. According to data from OpenAlex, Jian Dou has authored 8 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 2 papers in Automotive Engineering and 2 papers in Computational Mechanics. Recurrent topics in Jian Dou's work include Advanced Neural Network Applications (4 papers), Video Surveillance and Tracking Methods (4 papers) and 3D Shape Modeling and Analysis (2 papers). Jian Dou is often cited by papers focused on Advanced Neural Network Applications (4 papers), Video Surveillance and Tracking Methods (4 papers) and 3D Shape Modeling and Analysis (2 papers). Jian Dou collaborates with scholars based in China. Jian Dou's co-authors include Zhu Yushi, Jie Sun, Jianyun Xu, Ruixiang Zhang, Shiliang Pu, Jianru Xue, Jianwu Fang, Zhen Ye, Bohua Zhang and Pu Zhang and has published in prestigious journals such as Electronics and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

In The Last Decade

Jian Dou

7 papers receiving 295 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.

RPVNet: A Deep and Efficient Range-Point-Voxel Fusion Network for LiDAR Point Cloud Segmentation

2021 213 citations Jianyun Xu, Ruixiang Zhang et al. 2021 IEEE/CVF International Conference on Computer Vision (ICCV) profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jian Dou China	4	177	117	106	92	88	8	306
Biao Gao China	6	170 1.0×	115 1.0×	90 0.8×	89 1.0×	81 0.9×	9	296
Jianhui Liu China	6	300 1.7×	84 0.7×	71 0.7×	134 1.5×	72 0.8×	18	424
Zerong Xi United States	2	214 1.2×	176 1.5×	168 1.6×	129 1.4×	114 1.3×	3	368
Lucas Nunes Germany	10	202 1.1×	111 0.9×	48 0.5×	155 1.7×	72 0.8×	19	318
Jiadai Sun China	11	202 1.1×	107 0.9×	143 1.3×	160 1.7×	176 2.0×	15	398
Jürgen Gall Germany	6	326 1.8×	87 0.7×	56 0.5×	147 1.6×	74 0.8×	13	432
Jiantao Gao China	8	224 1.3×	60 0.5×	115 1.1×	77 0.8×	69 0.8×	16	329
Liuyuan Deng China	8	254 1.4×	76 0.6×	58 0.5×	88 1.0×	64 0.7×	15	391
Ryan Razani Canada	9	278 1.6×	199 1.7×	243 2.3×	137 1.5×	159 1.8×	10	481
Chuanzhe Suo Hong Kong	7	185 1.0×	73 0.6×	64 0.6×	229 2.5×	124 1.4×	10	318

Countries citing papers authored by Jian Dou

Since Specialization

Citations

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

Fields of papers citing papers by Jian Dou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jian Dou

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

All Works

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8 of 8 papers shown

1.

Liu, Danhua, et al.. (2024). An Unsupervised Abnormal Power Consumption Detection Method Combining Multi-Cluster Feature Selection and the Gaussian Mixture Model. Electronics. 13(17). 3446–3446. 3 indexed citations

2.

Dou, Jian, et al.. (2023). Smart Meter Fault Diagnosis Model Based on DBN-LSSVM Feature Fusion. 37. 628–633.

3.

Xu, Jianyun, Ruixiang Zhang, Jian Dou, et al.. (2021). RPVNet: A Deep and Efficient Range-Point-Voxel Fusion Network for LiDAR Point Cloud Segmentation. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 16004–16013. 213 indexed citations breakdown →

4.

Dou, Jian, et al.. (2019). Ghosting Elimination Method Based on Target Location Information. 392. 281–285. 1 indexed citations

5.

Dou, Jian, Jianru Xue, & Jianwu Fang. (2019). SEG-VoxelNet for 3D Vehicle Detection from RGB and LiDAR Data. 4362–4368. 40 indexed citations

6.

Xue, Jianru, Jianwu Fang, Bohua Zhang, et al.. (2019). BLVD: Building A Large-scale 5D Semantics Benchmark for Autonomous Driving. 6685–6691. 46 indexed citations

7.

Fang, Jianwu, et al.. (2018). Research on Human-Machine Collaborative Annotation for Traffic Scene Data. 2900–2905. 1 indexed citations

8.

Ye, Zhen, et al.. (2018). A Decision Fusion Model for 3D Detection of Autonomous Driving. 3773–3777. 2 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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