Wenling Shang

841 total citations
10 papers, 194 citations indexed

About

Wenling Shang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Wenling Shang has authored 10 papers receiving a total of 194 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 2 papers in Molecular Biology. Recurrent topics in Wenling Shang's work include Domain Adaptation and Few-Shot Learning (3 papers), vaccines and immunoinformatics approaches (2 papers) and Generative Adversarial Networks and Image Synthesis (2 papers). Wenling Shang is often cited by papers focused on Domain Adaptation and Few-Shot Learning (3 papers), vaccines and immunoinformatics approaches (2 papers) and Generative Adversarial Networks and Image Synthesis (2 papers). Wenling Shang collaborates with scholars based in United States, China and Israel. Wenling Shang's co-authors include Kihyuk Sohn, Honglak Lee, Yu Xiang, Justin Chiu, Manmohan Chandraker, Yuandong Tian, C. Lawrence Zitnick, Yuxin Wu, Steve Jiang and Yuriy Zinchenko and has published in prestigious journals such as Frontiers in Immunology, Physics in Medicine and Biology and Drug Design Development and Therapy.

In The Last Decade

Wenling Shang

9 papers receiving 185 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wenling Shang United States	6	97	94	26	20	17	10	194
Xuedong Yuan China	7	62 0.6×	38 0.4×	66 2.5×	12 0.6×	28 1.6×	14	206
S. Lebonvallet France	9	193 2.0×	53 0.6×	46 1.8×	11 0.6×	5 0.3×	17	336
Connah Kendrick United Kingdom	6	120 1.2×	115 1.2×	24 0.9×	3 0.1×	12 0.7×	16	295
Yingxue Pang China	3	152 1.6×	39 0.4×	32 1.2×	3 0.1×	9 0.5×	8	243
Shanshan Cui China	7	101 1.0×	59 0.6×	141 5.4×	11 0.6×	4 0.2×	27	278
Xian Wu China	7	211 2.2×	46 0.5×	62 2.4×	11 0.6×	8 0.5×	10	327
Thomas M. Deserno Germany	8	97 1.0×	50 0.5×	66 2.5×	5 0.3×	6 0.4×	12	226
Feng-Ju Chang United States	10	211 2.2×	127 1.4×	8 0.3×	9 0.5×	128 7.5×	22	370
Yuting Xiao China	4	66 0.7×	71 0.8×	45 1.7×	3 0.1×	3 0.2×	7	142
Petru-Daniel Tudosiu United Kingdom	6	72 0.7×	93 1.0×	73 2.8×	2 0.1×	6 0.4×	11	187

Countries citing papers authored by Wenling Shang

Since Specialization

Citations

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

Fields of papers citing papers by Wenling Shang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wenling Shang

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

Cui, Yali, Yingying Li, Wenling Shang, et al.. (2023). Immunoinformatics Prediction and Protective Efficacy of Vaccine Candidate PiuA-PlyD4 Against Streptococcus Pneumoniae. Drug Design Development and Therapy. Volume 17. 3783–3801. 5 indexed citations

Shang, Wenling, et al.. (2023). Investigating the Correlation Between HLA-II Gene Polymorphism and RhE Alloimmunization in Pregnant Chinese Women. Indian Journal of Hematology and Blood Transfusion. 39(4). 662–669. 3 indexed citations

Cui, Yali, Wen Chen, Wenling Shang, et al.. (2022). Construction and protective efficacy of a novel Streptococcus pneumoniae fusion protein vaccine NanAT1-TufT1-PlyD4. Frontiers in Immunology. 13. 1043293–1043293. 7 indexed citations

Shang, Wenling & Kihyuk Sohn. (2019). Attentive Conditional Channel-Recurrent Autoencoding for Attribute-Conditioned Face Synthesis. 1533–1542. 1 indexed citations

Sohn, Kihyuk, Wenling Shang, Yu Xiang, & Manmohan Chandraker. (2018). Unsupervised Domain Adaptation for Distance Metric Learning. International Conference on Learning Representations. 22 indexed citations

Tian, Yuandong, et al.. (2017). ELF: An Extensive, Lightweight and Flexible Research Platform for Real-time Strategy Games. Neural Information Processing Systems. 30. 2659–2669. 25 indexed citations

Shang, Wenling, Kihyuk Sohn, Zeynep Akata, & Yuandong Tian. (2017). Channel-Recurrent Variational Autoencoders.. 1 indexed citations

Shang, Wenling, Justin Chiu, & Kihyuk Sohn. (2017). Exploring Normalization in Deep Residual Networks with Concatenated Rectified Linear Units. Proceedings of the AAAI Conference on Artificial Intelligence. 31(1). 17 indexed citations

Sohn, Kihyuk, Wenling Shang, & Honglak Lee. (2014). Improved Multimodal Deep Learning with Variation of Information. Neural Information Processing Systems. 27. 2141–2149. 94 indexed citations

10.

Zarepisheh, Masoud, et al.. (2013). A moment-based approach for DVH-guided radiotherapy treatment plan optimization. Physics in Medicine and Biology. 58(6). 1869–1887. 19 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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