Mosha Chen

1.2k total citations
19 papers, 543 citations indexed

About

Mosha Chen is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mosha Chen has authored 19 papers receiving a total of 543 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 5 papers in Molecular Biology and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mosha Chen's work include Topic Modeling (19 papers), Natural Language Processing Techniques (13 papers) and Biomedical Text Mining and Ontologies (5 papers). Mosha Chen is often cited by papers focused on Topic Modeling (19 papers), Natural Language Processing Techniques (13 papers) and Biomedical Text Mining and Ontologies (5 papers). Mosha Chen collaborates with scholars based in China, United States and United Kingdom. Mosha Chen's co-authors include Chuanqi Tan, Fei Huang, Ningyu Zhang, Huajun Chen, Shumin Deng, Songfang Huang, Xin Xie, Wei Qiu, Rui Wang and Yao Fu and has published in prestigious journals such as ACM Computing Surveys, IEEE/ACM Transactions on Audio Speech and Language Processing and JMIR Medical Informatics.

In The Last Decade

Mosha Chen

18 papers receiving 533 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mosha Chen China	13	509	76	67	59	47	19	543
Arzoo Katiyar United States	7	705 1.4×	98 1.3×	77 1.1×	54 0.9×	77 1.6×	11	742
Luciano Del Corro Germany	7	427 0.8×	55 0.7×	87 1.3×	38 0.6×	41 0.9×	10	459
Julie Tibshirani United States	6	524 1.0×	73 1.0×	84 1.3×	49 0.8×	31 0.7×	10	554
Congle Zhang United States	7	673 1.3×	97 1.3×	104 1.6×	59 1.0×	46 1.0×	8	714
Yee Fan Tan Singapore	8	305 0.6×	97 1.3×	116 1.7×	54 0.9×	26 0.6×	18	372
Xiaotao Gu United States	9	349 0.7×	57 0.8×	69 1.0×	40 0.7×	54 1.1×	19	378
Octavian-Eugen Ganea Switzerland	6	419 0.8×	125 1.6×	38 0.6×	38 0.6×	43 0.9×	9	439
Thomas Lin United States	12	335 0.7×	45 0.6×	94 1.4×	51 0.9×	28 0.6×	17	393
Abe Ittycheriah United States	7	612 1.2×	34 0.4×	75 1.1×	48 0.8×	118 2.5×	9	643
Dmitry Zelenko United States	5	503 1.0×	44 0.6×	81 1.2×	76 1.3×	33 0.7×	8	542

Countries citing papers authored by Mosha Chen

Since Specialization

Citations

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

Fields of papers citing papers by Mosha Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mosha Chen

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

All Works

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19 of 19 papers shown

Deng, Shumin, Jiacheng Yang, Hongbin Ye, et al.. (2023). LOGEN: Few-Shot Logical Knowledge-Conditioned Text Generation With Self-Training. IEEE/ACM Transactions on Audio Speech and Language Processing. 31. 2124–2133.

Deng, Shumin, Chengming Wang, Zhoubo Li, et al.. (2023). Construction and Applications of Billion-Scale Pre-Trained Multimodal Business Knowledge Graph. 2988–3002. 12 indexed citations

Jin, Qiao, Chuanqi Tan, Mosha Chen, et al.. (2022). State-of-the-Art Evidence Retriever for Precision Medicine: Algorithm Development and Validation. JMIR Medical Informatics. 10(12). e40743–e40743. 1 indexed citations

Xie, Xin, Ningyu Zhang, Zhoubo Li, et al.. (2022). From Discrimination to Generation: Knowledge Graph Completion with Generative Transformer. arXiv (Cornell University). 162–165. 49 indexed citations

Jin, Qiao, Zheng Yuan, Guangzhi Xiong, et al.. (2022). Biomedical Question Answering: A Survey of Approaches and Challenges. ACM Computing Surveys. 55(2). 1–36. 61 indexed citations

Liu, Kun, Yao Fu, Chuanqi Tan, et al.. (2021). Noisy-Labeled NER with Confidence Estimation. 3437–3445. 33 indexed citations

Deng, Shumin, Ningyu Zhang, Hui Chen, et al.. (2021). OntoED: Low-resource Event Detection with Ontology Embedding. 2828–2839. 26 indexed citations

Zhang, Ningyu, Xiang Chen, Xin Xie, et al.. (2021). Document-level Relation Extraction as Semantic Segmentation. 3999–4006. 102 indexed citations

He, Yifan, Mosha Chen, & Songfang Huang. (2021). damo_nlp at MEDIQA 2021: Knowledge-based Preprocessing and Coverage-oriented Reranking for Medical Question Summarization. 112–118. 5 indexed citations

10.

Fu, Yao, Chuanqi Tan, Mosha Chen, Songfang Huang, & Fei Huang. (2021). Nested Named Entity Recognition with Partially-Observed TreeCRFs. Proceedings of the AAAI Conference on Artificial Intelligence. 35(14). 12839–12847. 32 indexed citations

11.

Chen, Boli, Yao Fu, Guangwei Xu, et al.. (2021). Probing BERT in Hyperbolic Spaces. arXiv (Cornell University). 12 indexed citations

12.

Ye, Hongbin, Ningyu Zhang, Shumin Deng, et al.. (2021). Contrastive Triple Extraction with Generative Transformer. Proceedings of the AAAI Conference on Artificial Intelligence. 35(16). 14257–14265. 70 indexed citations

13.

Zhang, Ningyu, Hongbin Ye, Shumin Deng, et al.. (2021). Contrastive Information Extraction With Generative Transformer. IEEE/ACM Transactions on Audio Speech and Language Processing. 29. 3077–3088. 23 indexed citations

14.

Zhang, Ningyu, Shumin Deng, Haiyang Yu, et al.. (2020). OpenUE: An Open Toolkit of Universal Extraction from Text. 1–8. 17 indexed citations

15.

Jin, Qiao, Chuanqi Tan, Mosha Chen, Xiaozhong Liu, & Songfang Huang. (2020). Predicting Clinical Trial Results by Implicit Evidence Integration. 1461–1477. 4 indexed citations

16.

Tan, Chuanqi, Wei Qiu, Mosha Chen, Rui Wang, & Fei Huang. (2020). Boundary Enhanced Neural Span Classification for Nested Named Entity Recognition. Proceedings of the AAAI Conference on Artificial Intelligence. 34(5). 9016–9023. 72 indexed citations

17.

Fu, Yao, et al.. (2020). Latent Template Induction with Gumbel-CRFs. arXiv (Cornell University). 33. 20259–20271. 2 indexed citations

18.

Qiu, Wei, Mosha Chen, Linlin Li, & Luo Si. (2018). NLP_HZ at SemEval-2018 Task 9: a Nearest Neighbor Approach. 909–913. 6 indexed citations

19.

Chen, Mosha, et al.. (2010). Combining dependency parsing with shallow semantic analysis for Chinese opinion-element relation identification. 299–305. 16 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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