Junxian He

2.9k total citations · 1 hit paper
51 papers, 838 citations indexed

About

Junxian He is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Cellular and Molecular Neuroscience. According to data from OpenAlex, Junxian He has authored 51 papers receiving a total of 838 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 18 papers in Electrical and Electronic Engineering and 9 papers in Cellular and Molecular Neuroscience. Recurrent topics in Junxian He's work include Advanced Memory and Neural Computing (16 papers), Topic Modeling (16 papers) and Natural Language Processing Techniques (14 papers). Junxian He is often cited by papers focused on Advanced Memory and Neural Computing (16 papers), Topic Modeling (16 papers) and Natural Language Processing Techniques (14 papers). Junxian He collaborates with scholars based in China, United States and Australia. Junxian He's co-authors include Mingxuan Wang, Bohan Li, Hao Zhou, Yiming Yang, Lei Li, Graham Neubig, Taylor Berg-Kirkpatrick, Cong Shi, Chunting Zhou and Nanjian Wu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Neurocomputing.

In The Last Decade

Junxian He

47 papers receiving 804 citations

Hit Papers

On the Sentence Embeddings from Pre-trained Language Models 2020 2026 2022 2024 2020 100 200 300

Peers

Junxian He
Comparison fields: 5 of 84
  • Artificial Intelligence 615
  • Computer Vision and Pattern Recognition 156
  • Electrical and Electronic Engineering 140
  • Information Systems 49
  • Cognitive Neuroscience 48
Replace Iren Valova with:
Iren Valova United States
Xinyu Lei China
Xianghong Lin China
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Edoardo Ragusa Italy
Nadeem Ahmed Syed Saudi Arabia
Changying Du China
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Yin Zhu Hong Kong
Iren Valova United States View profile →
Citations per field, relative to Junxian He
Junxian He · 1×
Citations per year, relative to Junxian He
Junxian He · 1×

Countries citing papers authored by Junxian He

Since Specialization
Citations

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

Fields of papers citing papers by Junxian He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junxian He

This figure shows the co-authorship network connecting the top 25 collaborators of Junxian He. A scholar is included among the top collaborators of Junxian 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 Junxian He. Junxian 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
# Work Indexed citations
1 33
2 4
3 1
4 19
5 4
6 2
7 1
8 4
9 5
10 6
11 18
12 27
13 28
14 26
15
Revisiting Self-Training for Neural Sequence Generation
36
16
Learning Sparse Prototypes for Text Generation
3
17
On the Sentence Embeddings from Pre-trained Language Models breakdown →
316
18
Lagging Inference Networks and Posterior Collapse in Variational Autoencoders
30
19 2
20
Poroelastic triggering in the January 9-22, 2008 Nima-Gaize (Tibet) earthquake sequence
4

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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