Zhongjun He

2.1k total citations
37 papers, 651 citations indexed

About

Zhongjun He is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Zhongjun He has authored 37 papers receiving a total of 651 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 2 papers in Molecular Biology. Recurrent topics in Zhongjun He's work include Natural Language Processing Techniques (36 papers), Topic Modeling (31 papers) and Speech and dialogue systems (9 papers). Zhongjun He is often cited by papers focused on Natural Language Processing Techniques (36 papers), Topic Modeling (31 papers) and Speech and dialogue systems (9 papers). Zhongjun He collaborates with scholars based in China, Japan and United States. Zhongjun He's co-authors include Hua Wu, Haifeng Wang, Hao Xiong, Chengqing Zong, Jiajun Zhang, Shouxun Lin, Liang Huang, Kenneth Church, Wei He and Ruiqing Zhang and has published in prestigious journals such as Journal of Alloys and Compounds, Engineering and arXiv (Cornell University).

In The Last Decade

Zhongjun He

34 papers receiving 596 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Zhongjun He China 14 599 163 38 29 28 37 651
Roee Aharoni Israel 12 541 0.9× 156 1.0× 12 0.3× 23 0.8× 40 1.4× 27 576
Matthias Huck Germany 13 892 1.5× 188 1.2× 26 0.7× 61 2.1× 44 1.6× 54 928
Rabih Zbib United States 8 508 0.8× 87 0.5× 22 0.6× 26 0.9× 36 1.3× 18 545
Aleš Tamchyna Czechia 10 580 1.0× 124 0.8× 22 0.6× 60 2.1× 32 1.1× 29 623
Pradeep Dasigi United States 11 527 0.9× 166 1.0× 13 0.3× 13 0.4× 62 2.2× 23 558
Marcin Junczys-Dowmunt United States 13 786 1.3× 201 1.2× 29 0.8× 34 1.2× 54 1.9× 39 822
Vishrav Chaudhary United States 13 569 0.9× 163 1.0× 10 0.3× 20 0.7× 45 1.6× 29 603
Raj Dabre Japan 12 486 0.8× 198 1.2× 31 0.8× 13 0.4× 16 0.6× 70 527
Hervé Saint-Amand United Kingdom 8 482 0.8× 113 0.7× 23 0.6× 35 1.2× 50 1.8× 9 520

Countries citing papers authored by Zhongjun He

Since Specialization
Citations

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

Fields of papers citing papers by Zhongjun He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhongjun He

This figure shows the co-authorship network connecting the top 25 collaborators of Zhongjun He. A scholar is included among the top collaborators of Zhongjun 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 Zhongjun He. Zhongjun 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
1.
He, Zhongjun, et al.. (2025). Achieving near-zero τ in garnets via normal-inverse structural transformation in an inverse garnet Mg3Yb2Ge3O12. Journal of Alloys and Compounds. 1042. 184050–184050.
2.
Gao, Pengzhi, Ruiqing Zhang, Zhongjun He, Hua Wu, & Haifeng Wang. (2024). An Empirical Study of Consistency Regularization for End-to-End Speech-to-Text Translation. 242–256.
3.
Gao, Pengzhi, Liwen Zhang, Zhongjun He, Hua Wu, & Haifeng Wang. (2023). Improving Zero-shot Multilingual Neural Machine Translation by Leveraging Cross-lingual Consistency Regularization. 12103–12119. 4 indexed citations
4.
Zhang, Ruiqing, et al.. (2022). Non-Autoregressive Chinese ASR Error Correction with Phonological Training. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 5907–5917. 5 indexed citations
5.
He, Zhongjun, et al.. (2022). Bi-SimCut: A Simple Strategy for Boosting Neural Machine Translation. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 3938–3948. 6 indexed citations
6.
Zhang, Ruiqing, Chao Pang, Chuanqiang Zhang, et al.. (2021). Correcting Chinese Spelling Errors with Phonetic Pre-training. 2250–2261. 37 indexed citations
7.
Wang, Haifeng, Hua Wu, Zhongjun He, Liang Huang, & Kenneth Church. (2021). Progress in Machine Translation. Engineering. 18. 143–153. 88 indexed citations
8.
Zhang, Ruiqing, Chuanqiang Zhang, Zhongjun He, Hua Wu, & Haifeng Wang. (2020). Learning Adaptive Segmentation Policy for Simultaneous Translation. 2280–2289. 28 indexed citations
9.
Zhao, Yang, Jiajun Zhang, Chengqing Zong, Zhongjun He, & Hua Wu. (2019). Addressing the Under-Translation Problem from the Entropy Perspective. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 451–458. 10 indexed citations
10.
Xiong, Hao, et al.. (2019). Multi-agent Learning for Neural Machine Translation. 856–865. 10 indexed citations
11.
Zhao, Yang, Jiajun Zhang, Zhongjun He, Chengqing Zong, & Hua Wu. (2018). Addressing Troublesome Words in Neural Machine Translation. 391–400. 17 indexed citations
12.
Ma, Mingbo, Liang Huang, Hao Xiong, et al.. (2018). STACL: Simultaneous Translation with Integrated Anticipation and Controllable Latency. arXiv (Cornell University). 11 indexed citations
13.
He, Zhongjun, et al.. (2013). Improving Pivot-Based Statistical Machine Translation Using Random Walk. 524–534. 10 indexed citations
14.
He, Zhongjun, Yao Meng, & Hao Yu. (2010). Extending the Hierarchical Phrase Based Model with Maximum Entropy Based BTG. Conference of the Association for Machine Translation in the Americas. 7 indexed citations
15.
He, Zhongjun, Yao Meng, & Hao Yu. (2010). Learning Phrase Boundaries for Hierarchical Phrase-based Translation. International Conference on Computational Linguistics. 383–390. 3 indexed citations
16.
He, Zhongjun, Qun Liu, & Shouxun Lin. (2008). Improving statistical machine translation using lexicalized rule selection. 1. 321–328. 35 indexed citations
17.
Liu, Qun, Zhongjun He, Yang Liu, & Shouxun Lin. (2008). Maximum entropy based rule selection model for syntax-based statistical machine translation. 89–89. 20 indexed citations
18.
He, Zhongjun, Qun Liu, & Shouxun Lin. (2008). Partial matching strategy for phrase-based statistical machine translation. 161–161. 3 indexed citations
19.
He, Zhongjun, Haitao Mi, Yang Liu, et al.. (2007). The ICT Statistical Machine Translation Systems for IWSLT 2007. IWSLT. 119–124. 2 indexed citations
20.
He, Zhongjun, et al.. (2006). ICT System Description for the 2006 TC-STAR Run #2 SLT Evaluation. 4 indexed citations

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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