Wenming Tan

861 total citations
28 papers, 448 citations indexed

About

Wenming Tan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Wenming Tan has authored 28 papers receiving a total of 448 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 15 papers in Artificial Intelligence and 5 papers in Aerospace Engineering. Recurrent topics in Wenming Tan's work include Advanced Neural Network Applications (9 papers), Advanced Image and Video Retrieval Techniques (6 papers) and Domain Adaptation and Few-Shot Learning (6 papers). Wenming Tan is often cited by papers focused on Advanced Neural Network Applications (9 papers), Advanced Image and Video Retrieval Techniques (6 papers) and Domain Adaptation and Few-Shot Learning (6 papers). Wenming Tan collaborates with scholars based in China, Australia and Singapore. Wenming Tan's co-authors include Dahu Shi, Xing Wei, Shiliang Pu, Zhenshen Qu, Haichao Cao, Han Han, Nikolajs Zeps, B Iacopetta, Richie Soong and Manuel Salto‐Tellez and has published in prestigious journals such as Journal of Medicinal Chemistry, Annals of Oncology and IEEE Access.

In The Last Decade

Wenming Tan

23 papers receiving 440 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wenming Tan China	9	247	133	89	78	48	28	448
Nianyi Li United States	14	615 2.5×	78 0.6×	24 0.3×	38 0.5×	68 1.4×	35	939
Xiao Jin China	13	223 0.9×	52 0.4×	63 0.7×	22 0.3×	146 3.0×	34	548
Yucheng Wei China	14	337 1.4×	57 0.4×	56 0.6×	93 1.2×	10 0.2×	46	686
Rusi Chen China	9	111 0.4×	109 0.8×	35 0.4×	19 0.2×	84 1.8×	61	562
Dianmin Sun China	10	90 0.4×	40 0.3×	23 0.3×	31 0.4×	22 0.5×	18	288
Zhiwen Huang China	14	89 0.4×	82 0.6×	31 0.3×	19 0.2×	94 2.0×	42	624
Hamidullah Binol United States	12	123 0.5×	166 1.2×	45 0.5×	55 0.7×	77 1.6×	33	467
Hong-an Li China	12	147 0.6×	34 0.3×	30 0.3×	19 0.2×	26 0.5×	91	444
Xiaobin Hu China	11	403 1.6×	74 0.6×	13 0.1×	21 0.3×	118 2.5×	18	616
Yuan‐Hsiang Chang United States	13	128 0.5×	327 2.5×	104 1.2×	20 0.3×	157 3.3×	41	439

Countries citing papers authored by Wenming Tan

Since Specialization

Citations

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

Fields of papers citing papers by Wenming Tan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wenming Tan

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

Zhang, Bei, Zhimin Zou, Junjie Cai, et al.. (2024). Discovery and Optimization of Dihydroquinolin-2(1H)-ones as Novel Highly Selective and Orally Bioavailable Phosphodiesterase 5 Inhibitors for the Treatment of Pulmonary Arterial Hypertension. Journal of Medicinal Chemistry. 67(24). 22134–22144. 1 indexed citations

Liu, Tao, et al.. (2024). Rethinking Knowledge Distillation with Raw Features for Semantic Segmentation. 1144–1153. 3 indexed citations

Chen, Lin, Bo Peng, Zheyang Li, et al.. (2023). Bit-shrinking: Limiting Instantaneous Sharpness for Improving Post-training Quantization. 16196–16205. 8 indexed citations

Shi, Dahu, Wenming Tan, Zheyang Li, et al.. (2023). Learning Symmetry-Aware Geometry Correspondences for 6D Object Pose Estimation. 13999–14008. 11 indexed citations

Wang, Yueming, et al.. (2023). MTHM: Self-Supervised Multitask Anomaly Detection With Hard Example Mining. IEEE Transactions on Instrumentation and Measurement. 72. 1–13. 7 indexed citations

Yang, Xi, et al.. (2023). MaskBooster: End-to-End Self-Training for Sparsely Supervised Instance Segmentation. Proceedings of the AAAI Conference on Artificial Intelligence. 37(3). 3696–3704.

Miao, Jiaxu, Dahu Shi, Wenming Tan, et al.. (2023). Distilling DETR with Visual-Linguistic Knowledge for Open-Vocabulary Object Detection. 6478–6487. 5 indexed citations

Zhang, Zehan, Ji Yang, Wei Cui, et al.. (2022). ATF-3D: Semi-Supervised 3D Object Detection With Adaptive Thresholds Filtering Based on Confidence and Distance. IEEE Robotics and Automation Letters. 7(4). 10573–10580. 8 indexed citations

Yu, Lu, et al.. (2022). AuxBranch: Binarization residual-aware network design via auxiliary branch search. Pattern Recognition. 136. 109263–109263. 2 indexed citations

10.

Tan, Wenming, et al.. (2022). Dual Decoupling Training for Semi-supervised Object Detection with Noise-Bypass Head. Proceedings of the AAAI Conference on Artificial Intelligence. 36(3). 3526–3534. 7 indexed citations

11.

Zhang, Kai, Zheyang Li, Haoji Hu, et al.. (2022). Dynamic Feature Pyramid Networks for Detection. 2022 IEEE International Conference on Multimedia and Expo (ICME). 1–6. 5 indexed citations

12.

Shi, Dahu, et al.. (2022). End-to-End Multi-Person Pose Estimation with Transformers. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 11059–11068. 89 indexed citations

13.

Li, Hao, et al.. (2022). MAFF-Net: Filter False Positive for 3D Vehicle Detection with Multi-modal Adaptive Feature Fusion. 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC). 369–376. 15 indexed citations

14.

Cao, Haichao, et al.. (2021). Breast mass detection in digital mammography based on anchor-free architecture. Computer Methods and Programs in Biomedicine. 205. 106033–106033. 39 indexed citations

15.

Cao, Haichao, Shiliang Pu, & Wenming Tan. (2021). A Novel Method For Segmentation Of Breast Masses Based On Mammography Images. 3782–3786. 4 indexed citations

16.

Qu, Zhenshen, et al.. (2021). PolarDet: a fast, more precise detector for rotated target in aerial images. International Journal of Remote Sensing. 42(15). 5831–5861. 70 indexed citations

17.

Cao, Haichao, et al.. (2020). Multi-Tasking U-Shaped Network for Benign and Malignant Classification of Breast Masses. IEEE Access. 8. 223396–223404. 6 indexed citations

18.

Yan, Zhaoyi, Yemin Shi, Yaowei Wang, et al.. (2020). Towards Accurate Low Bit-Width Quantization with Multiple Phase Adaptations. Proceedings of the AAAI Conference on Artificial Intelligence. 34(4). 6591–6598. 1 indexed citations

19.

Soong, Richie, Nilesh Shah, Manuel Salto‐Tellez, et al.. (2008). Prognostic significance of thymidylate synthase, dihydropyrimidine dehydrogenase and thymidine phosphorylase protein expression in colorectal cancer patients treated with or without 5-fluorouracil-based chemotherapy. Annals of Oncology. 19(5). 915–919. 103 indexed citations

20.

Tan, Wenming. (2004). The 3-point Resection Problem in Photogrammetry. National University of Singapore. 64(3). 177–180.

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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