Weiqiang Ren

2.3k total citations · 1 hit paper
8 papers, 1.3k citations indexed

About

Weiqiang Ren is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Surgery. According to data from OpenAlex, Weiqiang Ren has authored 8 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 1 paper in Surgery. Recurrent topics in Weiqiang Ren's work include Advanced Image and Video Retrieval Techniques (5 papers), Advanced Neural Network Applications (5 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Weiqiang Ren 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 (3 papers). Weiqiang Ren collaborates with scholars based in China, Australia and United Kingdom. Weiqiang Ren's co-authors include Tieniu Tan, Zhang Zhang, Yifan Zhang, Zhen Jia, Liang Wang, Kaiqi Huang, Dacheng Tao, Xu Zhang, Chong Wang and Lijun Cao and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Pattern Recognition.

In The Last Decade

Weiqiang Ren

8 papers receiving 1.3k 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.

Focal and efficient IOU loss for accurate bounding box regression

2022 1.2k citations Yifan Zhang, Weiqiang Ren et al. Neurocomputing profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Weiqiang Ren China	6	839	265	218	153	153	8	1.3k
Zhen Jia China	9	820 1.0×	263 1.0×	215 1.0×	152 1.0×	140 0.9×	22	1.4k
Guanzhong Wang Germany	3	643 0.8×	281 1.1×	272 1.2×	147 1.0×	155 1.0×	7	1.3k
Qingqing Dang China	9	700 0.8×	282 1.1×	381 1.7×	149 1.0×	158 1.0×	25	1.6k
Weipeng Zhuo Hong Kong	7	628 0.7×	226 0.9×	160 0.7×	193 1.3×	133 0.9×	12	1.3k
Wen Song China	4	613 0.7×	224 0.8×	157 0.7×	192 1.3×	130 0.8×	11	1.2k
Hao He China	5	618 0.7×	226 0.9×	158 0.7×	193 1.3×	131 0.9×	14	1.2k
Jierun Chen Hong Kong	3	607 0.7×	224 0.8×	157 0.7×	192 1.3×	130 0.8×	5	1.2k

Countries citing papers authored by Weiqiang Ren

Since Specialization

Citations

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

Fields of papers citing papers by Weiqiang Ren

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weiqiang Ren

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

8 of 8 papers shown

1.

Zhang, Yifan, Weiqiang Ren, Zhang Zhang, et al.. (2022). Focal and efficient IOU loss for accurate bounding box regression. Neurocomputing. 506. 146–157. 1177 indexed citations breakdown →

2.

Li, Tingting, et al.. (2022). Gab1 regulates invadopodia and autocrine VEGF through SHP2/ERK1/2 in hilar cholangiocarcinoma cells.. PubMed. 14(12). 8934–8946. 4 indexed citations

3.

Liu, Wei, Shengcai Liao, Weiqiang Ren, Weidong Hu, & Yinan Yu. (2019). High-Level Semantic Feature Detection: A New Perspective for Pedestrian Detection. IEEE Conference Proceedings. 2019. 5182–5191. 11 indexed citations

4.

Cao, Lijun, Xu Zhang, Weiqiang Ren, & Kaiqi Huang. (2015). Large scale crowd analysis based on convolutional neural network. Pattern Recognition. 48(10). 3016–3024. 36 indexed citations

5.

Wang, Chong, Kaiqi Huang, Weiqiang Ren, Junge Zhang, & Steve Maybank. (2015). Large-Scale Weakly Supervised Object Localization via Latent Category Learning. IEEE Transactions on Image Processing. 24(4). 1371–1385. 40 indexed citations

6.

Ren, Weiqiang, Kaiqi Huang, Dacheng Tao, & Tieniu Tan. (2015). Weakly Supervised Large Scale Object Localization with Multiple Instance Learning and Bag Splitting. IEEE Transactions on Pattern Analysis and Machine Intelligence. 38(2). 405–416. 61 indexed citations

7.

Wang, Chong, Weiqiang Ren, & Kaiqi Huang. (2014). Window mining by clustering mid-level representation for weakly supervised object detection. 60. 4067–4071. 2 indexed citations

8.

Ren, Weiqiang, Yinan Yu, Junge Zhang, & Kaiqi Huang. (2014). Learning Convolutional Nonlinear Features for K Nearest Neighbor Image Classification. 4358–4363. 15 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Zhen Jia Breakdown of academic impact, for papers by Guanzhong Wang Breakdown of academic impact, for papers by Qingqing Dang Breakdown of academic impact, for papers by Weipeng Zhuo Breakdown of academic impact, for papers by Wen Song Breakdown of academic impact, for papers by Hao He Breakdown of academic impact, for papers by Jierun Chen