Yinchong Yang

512 total citations
5 papers, 142 citations indexed

About

Yinchong Yang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Yinchong Yang has authored 5 papers receiving a total of 142 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Molecular Biology. Recurrent topics in Yinchong Yang's work include Machine Learning in Healthcare (3 papers), AI in cancer detection (3 papers) and Statistical Methods and Inference (1 paper). Yinchong Yang is often cited by papers focused on Machine Learning in Healthcare (3 papers), AI in cancer detection (3 papers) and Statistical Methods and Inference (1 paper). Yinchong Yang collaborates with scholars based in Germany. Yinchong Yang's co-authors include Volker Tresp, Denis Krompaß, Peter A. Fasching, Marius Wunderle, Zhiliang Wu and Jindong Gu and has published in prestigious journals such as International Conference on Machine Learning.

In The Last Decade

Yinchong Yang

5 papers receiving 136 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yinchong Yang Germany	5	65	40	38	24	12	5	142
Jinmian Ye China	6	91 1.4×	79 2.0×	25 0.7×	9 0.4×	17 1.4×	7	160
Hsiao-Yu Fish Tung United States	6	32 0.5×	73 1.8×	26 0.7×	17 0.7×	2 0.2×	16	128
Dmitry Molchanov Russia	4	134 2.1×	120 3.0×	5 0.1×	10 0.4×	7 0.6×	11	196
Fahimuddin Shaik India	7	32 0.5×	42 1.1×		56 2.3×	12 1.0×	40	137
Sujatha Canavoy Narahari India	8	55 0.8×	47 1.2×		27 1.1×	21 1.8×	27	192
Mohammad Emtiyaz Khan Switzerland	9	124 1.9×	24 0.6×	5 0.1×	5 0.2×	5 0.4×	20	164
Bojian Hou United States	8	136 2.1×	37 0.9×	1 0.0×	39 1.6×	11 0.9×	29	220
Mohit Kumar India	7	63 1.0×	13 0.3×		23 1.0×	13 1.1×	30	170
Chaofan Tao Hong Kong	6	122 1.9×	64 1.6×		30 1.3×	7 0.6×	12	169
Jindong Gu United Kingdom	7	149 2.3×	78 1.9×		9 0.4×	11 0.9×	32	217

Countries citing papers authored by Yinchong Yang

Since Specialization

Citations

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

Fields of papers citing papers by Yinchong Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yinchong Yang

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

All Works

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5 of 5 papers shown

1.

Wu, Zhiliang, Yinchong Yang, Jindong Gu, & Volker Tresp. (2021). Quantifying Predictive Uncertainty in Medical Image Analysis with Deep Kernel Learning. 63–72. 6 indexed citations

2.

Yang, Yinchong, Volker Tresp, Marius Wunderle, & Peter A. Fasching. (2018). Explaining Therapy Predictions with Layer-Wise Relevance Propagation in Neural Networks. 152–162. 42 indexed citations

3.

Yang, Yinchong, Denis Krompaß, & Volker Tresp. (2017). Tensor-train recurrent neural networks for video classification. International Conference on Machine Learning. 3891–3900. 67 indexed citations

4.

Yang, Yinchong, Peter A. Fasching, & Volker Tresp. (2017). Modeling Progression Free Survival in Breast Cancer with Tensorized Recurrent Neural Networks and Accelerated Failure Time Models. 164–176. 6 indexed citations

5.

Yang, Yinchong, Peter A. Fasching, & Volker Tresp. (2017). Predictive Modeling of Therapy Decisions in Metastatic Breast Cancer with Recurrent Neural Network Encoder and Multinomial Hierarchical Regression Decoder. 46–55. 21 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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