Zhengping Che

4.6k citations
39 papers · 2.4k · 1 hit paper · h-index 17

Impact in

Papers in

Zhengping Che

36 papers receiving 2.4k citations

Hit Papers

Recurrent Neural Networks for Multivariate Time Series with Missing Values 2018 · 1.2k citations
1.2k0+2+5Years since publication4008001.2k

Peers

Zhengping Che
Comparison fields: 5 of 152
  • Health Information Management 384
  • Health Informatics 105
  • Artificial Intelligence 1.5k
  • Signal Processing 500
  • Computational Mathematics 18
Replace Sanjay Purushotham with:
Sanjay Purushotham United States
Susana M. Vieira Portugal
Rajesh Ranganath United States
Edward Choi South Korea
Marco A. F. Pimentel United Kingdom
Zachary C. Lipton United States
Yu Cheng United States
José Luis Rojo‐Álvarez Spain
Simone Scardapane Italy
Buyue Qian United States
Zhengping Che relative to Sanjay Purushotham United States Sanjay Purushotham's profile →
Citations per field
00.5×1.7×
Sanjay Purushotham · 1×
Citations per year

Countries citing papers authored by Zhengping Che

Since Specialization
Citations

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

Fields of papers citing papers by Zhengping Che

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Zhengping Che, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Zhengping Che Line = papers co-authored together Zhengping Che links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Recurrent Neural Networks for Multivariate Time Series with Missing Values
Hit paper breakdown →
20181239
2 2018238
3 2015159
4
Interpretable Deep Models for ICU Outcome Prediction.
2016136
5 2021124
6 2018116
7 201797
8
Deep Learning Solutions for Classifying Patients on Opioid Use.
201931
9 202229
10 202326
11 202226
12 202223
13 201422
14 201718
15 202118
16
Hierarchical Deep Generative Models for Multi-Rate Multivariate Time Series
201817
17 201916
18
Causal Phenotype Discovery via Deep Networks.
201515
19 202112
20 202310

About Zhengping Che

Zhengping Che is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Automotive Engineering and Control and Systems Engineering, having authored 39 papers that have together received 2.4k indexed citations. Recurring topics across this work include Machine Learning in Healthcare (10 papers), Time Series Analysis and Forecasting (8 papers), Reinforcement Learning in Robotics (6 papers), Advanced Neural Network Applications (6 papers), Domain Adaptation and Few-Shot Learning (5 papers), Anomaly Detection Techniques and Applications (5 papers), Multimodal Machine Learning Applications (4 papers) and Autonomous Vehicle Technology and Safety (3 papers). The work is most often cited by research in Health Information Management (384 citations), Health Informatics (105 citations), Artificial Intelligence (1.5k citations), Signal Processing (500 citations) and Computational Mathematics (18 citations). Zhengping Che has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yan Liu, Sanjay Purushotham, David Sontag, Chuizheng Meng, Jian Tang, David C. Kale, Robinder G. Khemani, Wenzhe Li, Mohammad Taha Bahadori and Shuangfei Zhai. Their work appears in journals such as IEEE Transactions on Neural Networks and Learning Systems, Scientific Reports, Journal of Endourology, IEEE Transactions on Intelligent Transportation Systems and IEEE Robotics and Automation Letters.

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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