Di He

1.9k total citations · 1 hit paper
29 papers, 620 citations indexed

About

Di He is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Di He has authored 29 papers receiving a total of 620 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Di He's work include Topic Modeling (7 papers), Natural Language Processing Techniques (7 papers) and CO2 Sequestration and Geologic Interactions (5 papers). Di He is often cited by papers focused on Topic Modeling (7 papers), Natural Language Processing Techniques (7 papers) and CO2 Sequestration and Geologic Interactions (5 papers). Di He collaborates with scholars based in China, United States and United Kingdom. Di He's co-authors include Peixue Jiang, Ruina Xu, Tie‐Yan Liu, Guolin Ke, Tianle Cai, Shuxin Zheng, Shengjie Luo, Chengxuan Ying, Yanming Shen and Rong Li and has published in prestigious journals such as Accounts of Chemical Research, Environmental Science & Technology and Frontiers in Immunology.

In The Last Decade

Di He

22 papers receiving 609 citations

Hit Papers

Do Transformers Really Perform Badly for Graph Representa... 2021 2026 2022 2024 2021 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Do Transformers Really Perform Badly for Graph Representation
    2021 248 citations Chengxuan Ying, Tianle Cai et al. Neural Information Processing Systems profile →

Peers

Di He
Renjing Liu China
Md. Monirul Kabir Bangladesh
Lars Nolle United Kingdom
Inés M. Galván Spain
Kai-Bo Duan Singapore
Paulo Martins Engel Brazil
Renjing Liu China
Di He
Citations per year, relative to Di He Di He (= 1×) peers Renjing Liu

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
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Zhang, Zhong, Di He, & Shuang Liu. (2025). Cross-domain person re-identification via learning Heterogeneous Pseudo Labels. Pattern Recognition. 166. 111702–111702.
4.
He, Di, Yang Zhan, Tian Zhang, et al.. (2024). Multi-omics and machine learning-driven CD8+ T cell heterogeneity score for head and neck squamous cell carcinoma. Molecular Therapy — Nucleic Acids. 36(1). 102413–102413.
5.
He, Di, et al.. (2023). Study of Gear Meshing Efficiency of Electric Drive Axle with Considering System Deformation. Journal of Mechanical Engineering. 59(3). 66–66.
6.
Ying, Chengxuan, Tianle Cai, Shengjie Luo, et al.. (2021). Do Transformers Really Perform Badly for Graph Representation. Neural Information Processing Systems. 34. 248 indexed citations breakdown →
7.
He, Di, Chenyan Xiong, Guolin Ke, et al.. (2021). Less is More: Pretrain a Strong Siamese Encoder for Dense Text Retrieval Using a Weak Decoder. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 2780–2791. 33 indexed citations
8.
Chen, Xing, et al.. (2021). Taking Notes on the Fly Helps Language Pre-Training. 9 indexed citations
9.
He, Di, Peixue Jiang, & Ruina Xu. (2019). Pore-Scale Experimental Investigation of the Effect of Supercritical CO2 Injection Rate and Surface Wettability on Salt Precipitation. Environmental Science & Technology. 53(24). 14744–14751. 63 indexed citations
10.
Wu, Lijun, Jinhua Zhu, Di He, et al.. (2018). Machine Translation With Weakly Paired Bilingual Documents. 1 indexed citations
11.
Yu, Yuan, Di He, & Yong Zhou. (2018). Robust model-free feature screening based on modified Hoeffding measure for ultra-high dimensional data. Statistics and Its Interface. 11(3). 473–489.
12.
Li, Rong, Peixue Jiang, Di He, Xue Chen, & Ruina Xu. (2017). Experimental Investigation on the Behavior of Supercritical CO2 during Reservoir Depressurization. Environmental Science & Technology. 51(15). 8869–8876. 17 indexed citations
13.
Zhang, Xiaofan, Anand Ramachandran, Di He, et al.. (2017). Machine learning on FPGAs to face the IoT revolution. International Conference on Computer Aided Design. 819–826. 31 indexed citations
14.
Xu, Ruina, et al.. (2017). Effect of Mineral Dissolution/Precipitation and CO2 Exsolution on CO2 transport in Geological Carbon Storage. Accounts of Chemical Research. 50(9). 2056–2066. 89 indexed citations
15.
He, Di, Hanqing Lu, Yingce Xia, et al.. (2017). Decoding with Value Networks for Neural Machine Translation. Neural Information Processing Systems. 30. 178–187. 30 indexed citations
16.
Zhang, Xiaofan, Anand Ramachandran, Di He, et al.. (2017). Machine learning on FPGAs to face the IoT revolution. 819–826. 23 indexed citations
17.
Javed, Umer, Di He, & Peilin Liu. (2017). A Joint DOA/TOF Estimation Technique for 3D Localization of user Equipment in an Indoor Multipath Environment. Proceedings of the Satellite Division's International Technical Meeting (Online). 2960–2972. 2 indexed citations
18.
He, Di, et al.. (2015). Channel Modeling for Air-to-Ground Wireless Communication. ZTE communications. 13(2). 41–45. 1 indexed citations
19.
He, Di, et al.. (2002). Image mosaicing algorithm for rolled fingerprint construction. Tsinghua Science & Technology. 7(3). 317–321. 2 indexed citations
20.
Zhou, Jie, et al.. (2001). Effective algorithm for rolled fingerprint construction. Electronics Letters. 37(8). 492–494. 5 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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