Houtao Deng

2.8k citations
15 papers · 1.7k indexed · 2 hit papers · h-index 10
Topics
Fault Detection and Control Systems (3 papers)Advanced Statistical Process Monitoring (3 papers)Time Series Analysis and Forecasting (2 papers)

In The Last Decade

Houtao Deng

15 papers receiving 1.6k citations

Hit Papers

Deep convolutional neural networks for multi-modality iso...201320262017202120152013100200300400500

Peers

Houtao Deng
Comparison fields: 5 of 160
  • Artificial Intelligence 634
  • Computer Vision and Pattern Recognition 428
  • Signal Processing 297
  • Radiology, Nuclear Medicine and Imaging 272
  • Neurology 166
Replace M. A. Ganaie with:
M. A. Ganaie India
Yan Pei Japan
Birmohan Singh India
Long Yu China
A. K. Malik India
Rafał Scherer Poland
Mst Shamima Nasrin United States
Shengwei Tian China
Diyar Qader Zeebaree Iraq
Rupesh Gupta India
Houtao Deng relative to M. A. Ganaie India M. A. Ganaie's profile →
Citations per field
00.5×20×40×63×
M. A. Ganaie · 1×
Citations per year

Countries citing papers authored by Houtao Deng

Since Specialization
Citations

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

Fields of papers citing papers by Houtao Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Houtao Deng

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 5
2 9
3 9
4 132
5 4
6 66
7 40
8
Deep convolutional neural networks for multi-modality isointense infant brain image segmentationbreakdown →
581
9 35
10 222
11
A time series forest for classification and feature extractionbreakdown →
393
12 2
13 28
14 96
15 45

About Houtao Deng

Houtao Deng is a scholar working on Statistics, Probability and Uncertainty, Analytical Chemistry and Signal Processing, having authored 15 papers that have together received 1.7k indexed citations. Recurring topics across this work include Fault Detection and Control Systems (3 papers), Advanced Statistical Process Monitoring (3 papers) and Time Series Analysis and Forecasting (2 papers). The work is most often cited by research in Signal Processing (297 citations), Computer Vision and Pattern Recognition (428 citations) and Neurology (166 citations). Houtao Deng has collaborated with scholars based in United States, Türkiye and Kenya. Frequent co-authors include George C. Runger, Eugene Tuv, Shuiwang Ji, Rongjian Li, Li Wang, Wenlu Zhang, Dinggang Shen, Weili Lin, Elfatih M. Abdel‐Rahman and Elhadi Adam. Their work appears in journals such as NeuroImage, Pattern Recognition and Information Sciences.

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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