Di He

2.2k total citations
26 papers, 522 citations indexed

About

Di He is a scholar working on Artificial Intelligence, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Di He has authored 26 papers receiving a total of 522 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 8 papers in Molecular Biology and 4 papers in Computational Theory and Mathematics. Recurrent topics in Di He's work include Natural Language Processing Techniques (7 papers), Topic Modeling (6 papers) and Computational Drug Discovery Methods (3 papers). Di He is often cited by papers focused on Natural Language Processing Techniques (7 papers), Topic Modeling (6 papers) and Computational Drug Discovery Methods (3 papers). Di He collaborates with scholars based in China, United States and United Kingdom. Di He's co-authors include Lei Xie, Tie‐Yan Liu, Qiao Liu, Tao Qin, Guolin Ke, Xu Tan, Tie‐Yan Liu, Yingce Xia, You Wu and Zhou Zhao and has published in prestigious journals such as Bioinformatics, The Science of The Total Environment and PLoS Computational Biology.

In The Last Decade

Di He

25 papers receiving 497 citations

Peers

Di He
David B. Blumenthal Germany
Chandan Kumar Verma India
Giovanna Maria Dimitri Italy
Chaokun Yan China
Gregor Leban Slovenia
Tapas Bhadra India
Nagamma Patil India
Elham Pashaei Türkiye
Naijun Sha United States
Jiarui Liu China
David B. Blumenthal Germany
Di He
Citations per year, relative to Di He Di He (= 1×) peers David B. Blumenthal

Countries citing papers authored by Di He

Since Specialization
Citations

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

Fields of papers citing papers by Di He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Di He

This figure shows the co-authorship network connecting the top 25 collaborators of Di He. A scholar is included among the top collaborators of Di 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 Di He. Di 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.
2.
He, Zhenyu, Zexuan Zhong, Tianle Cai, Jason Lee, & Di He. (2024). REST: Retrieval-Based Speculative Decoding. 1582–1595. 8 indexed citations
3.
Liu, Jingling, Xue Yin, Di He, et al.. (2024). Efficient heterologous biosynthesis of verazine, a metabolic precursor of the anti-cancer drug cyclopamine, in Nicotiana benthamiana. Plant Communications. 5(6). 100831–100831. 5 indexed citations
4.
Hu, Bo, Di He, & Songsong Dai. (2023). Symmetric Difference Operators Derived from Overlap and Grouping Functions. Symmetry. 15(8). 1569–1569. 1 indexed citations
5.
Xie, Li, Shuo Zhang, Di He, et al.. (2023). End-to-end sequence-structure-function meta-learning predicts genome-wide chemical-protein interactions for dark proteins. PLoS Computational Biology. 19(1). e1010851–e1010851. 16 indexed citations
6.
7.
He, Di, et al.. (2023). Realised volatility prediction of high-frequency data with jumps based on machine learning. Connection Science. 35(1). 5 indexed citations
8.
He, Di, Qiao Liu, You Wu, & Lei Xie. (2022). A context-aware deconfounding autoencoder for robust prediction of personalized clinical drug response from cell-line compound screening. Nature Machine Intelligence. 4(10). 879–892. 45 indexed citations
9.
Ke, Guolin, Di He, & Tie‐Yan Liu. (2021). Rethinking Positional Encoding in Language Pre-training. International Conference on Learning Representations. 82 indexed citations
10.
Tan, Xu, Jiale Chen, Di He, et al.. (2019). Multilingual Neural Machine Translation with Language Clustering. 963–973. 55 indexed citations
11.
Liu, Qiao, Di He, & Lei Xie. (2019). Prediction of off-target specificity and cell-specific fitness of CRISPR-Cas System using attention boosted deep learning and network-based gene feature. PLoS Computational Biology. 15(10). e1007480–e1007480. 58 indexed citations
12.
Lim, Hansaim, et al.. (2019). Rational discovery of dual-indication multi-target PDE/Kinase inhibitor for precision anti-cancer therapy using structural systems pharmacology. PLoS Computational Biology. 15(6). e1006619–e1006619. 33 indexed citations
13.
Tan, Xu, Yi Ren, Di He, et al.. (2019). Multilingual Neural Machine Translation with Knowledge Distillation. arXiv (Cornell University). 52 indexed citations
14.
Gao, Jun, Di He, Xu Tan, et al.. (2019). Representation Degeneration Problem in Training Natural Language Generation Models. arXiv (Cornell University). 27 indexed citations
15.
He, Tianyu, Xu Tan, Yingce Xia, et al.. (2018). Layer-Wise Coordination between Encoder and Decoder for Neural Machine Translation. Neural Information Processing Systems. 31. 7944–7954. 52 indexed citations
16.
He, Di, Yong Zhou, & Hui Zou. (2018). High-Dimensional Variable Selection with Right Censored Length-biased Data. Statistica Sinica. 1 indexed citations
17.
Li, Zhuohan, Di He, Fei Tian, et al.. (2018). Hint-based Training for Non-Autoregressive Translation. 8 indexed citations
18.
Ji, Jiadong, Di He, Yang Feng, et al.. (2017). JDINAC: joint density-based non-parametric differential interaction network analysis and classification using high-dimensional sparse omics data. Bioinformatics. 33(19). 3080–3087. 19 indexed citations
19.
He, Di, et al.. (2017). Adaptive fuzzy c-means clustering algorithm for interval data type based on interval-dividing technique. Pattern Analysis and Applications. 21(3). 803–812. 9 indexed citations
20.
He, Di. (2014). An Improved Doppler Frequency Offset Estimation Algorithm in the Indoor OFDM Communication System. 46. 2 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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