Ting Hu

671 citations
19 papers · 452 indexed · 1 hit paper · h-index 8
Topics
Topic Modeling (5 papers)Advanced Radiotherapy Techniques (4 papers)Advanced X-ray and CT Imaging (4 papers)

In The Last Decade

Ting Hu

16 papers receiving 439 citations

Hit Papers

Epileptic Seizure Detection Based on EEG Signals and CNN20182026202020232018100200300

Peers

Ting Hu
Comparison fields: 5 of 71
  • Cognitive Neuroscience 313
  • Signal Processing 139
  • Artificial Intelligence 109
  • Psychiatry and Mental health 72
  • Cardiology and Cardiovascular Medicine 65
Replace Hossein Hosseini‐Nejad with:
Hossein Hosseini‐Nejad Iran
Mengni Zhou China
Hisham Daoud United States
Junbiao Liu China
Junzhong Zou China
Inung Wijayanto Indonesia
Nasir Hussain Saudi Arabia
M. Abdullah Canbaz United States
Syed Muhammad Usman Pakistan
Hengjin Ke China
Ting Hu relative to Hossein Hosseini‐Nejad Iran Hossein Hosseini‐Nejad's profile →
Citations per field
00.5×
Hossein Hosseini‐Nejad · 1×
Citations per year

Countries citing papers authored by Ting Hu

Since Specialization
Citations

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

Fields of papers citing papers by Ting Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ting Hu

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

All Works

19 of 19 papers shown
#WorkIndexed citations
1 0
2 0
3 0
4 10
5 2
6 7
7 5
8 13
9 1
10 11
11 8
12 4
13
Best Student Forcing: A Simple Training Mechanism in Adversarial Language Generation.
2
14 1
15 38
16 7
17 2
18
Epileptic Seizure Detection Based on EEG Signals and CNNbreakdown →
334
19 7

About Ting Hu

Ting Hu is a scholar working on Health Informatics, Radiation and Artificial Intelligence, having authored 19 papers that have together received 452 indexed citations. Recurring topics across this work include Topic Modeling (5 papers), Advanced Radiotherapy Techniques (4 papers) and Advanced X-ray and CT Imaging (4 papers). The work is most often cited by research in Cognitive Neuroscience (313 citations), Signal Processing (139 citations) and Neurology (59 citations). Ting Hu has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Mengni Zhou, Jie Xiang, Rui Cao, Yan Niu, Hao Guo, Bin Wang, Cheng Tian, Yi Zhang, Haiying Huang and Lei Zhang. Their work appears in journals such as Neurocomputing, Knowledge-Based Systems and Language Resources and Evaluation.

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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