Tianxing He

1.1k citations
38 papers · 419 indexed · h-index 12
Topics
Natural Language Processing Techniques (20 papers)Topic Modeling (15 papers)Speech Recognition and Synthesis (10 papers)

In The Last Decade

Tianxing He

34 papers receiving 398 citations

Peers

Tianxing He
Comparison fields: 5 of 72
  • Artificial Intelligence 212
  • Environmental Engineering 87
  • Computer Vision and Pattern Recognition 85
  • Signal Processing 58
  • Health, Toxicology and Mutagenesis 51
Replace Valerio Panzica La Manna with:
Valerio Panzica La Manna Netherlands
Mauricio Orozco‐Alzate Colombia
Manoj Nambiar India
Daizong Ding China
M. Pushpalatha India
Qin Zhao China
Chen Zeng China
Da Chen China
Kumudha Raimond India
Tianxing He relative to Valerio Panzica La Manna Netherlands Valerio Panzica La Manna's profile →
Citations per field
00.5×8.3×
Valerio Panzica La Manna · 1×
Citations per year

Countries citing papers authored by Tianxing He

Since Specialization
Citations

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

Fields of papers citing papers by Tianxing He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tianxing He

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 3
4 0
5 29
6 1
7 5
8 9
9 11
10 2
11 3
12 2
13 7
14 22
15 22
16 6
17
Mix-review: Alleviate Forgetting in the Pretrain-Finetune Framework for Neural Language Generation Models
4
18
Quantifying Exposure Bias for Neural Language Generation
12
19
Analysis of Gradient Clipping and Adaptive Scaling with a Relaxed Smoothness Condition.
3
20 76

About Tianxing He

Tianxing He is a scholar working on Artificial Intelligence, Signal Processing and Software, having authored 38 papers that have together received 419 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (20 papers), Topic Modeling (15 papers) and Speech Recognition and Synthesis (10 papers). The work is most often cited by research in Software (27 citations), Artificial Intelligence (212 citations) and Environmental Engineering (87 citations). Tianxing He has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Kai Yu, Yanmin Qian, Tian Tan, Jasha Droppo, Yuchen Fan, Jingzhao Zhang, James Glass, Yang Feng, Rui Zhou and Suvrit Sra. Their work appears in journals such as Frontiers in Plant Science, Remote Sensing and Sustainable Cities and Society.

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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