Di He

2.1k total citations
26 papers, 508 citations indexed

About

Di He is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Marketing. According to data from OpenAlex, Di He has authored 26 papers receiving a total of 508 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 3 papers in Marketing. Recurrent topics in Di He's work include Topic Modeling (11 papers), Natural Language Processing Techniques (9 papers) and Multimodal Machine Learning Applications (5 papers). Di He is often cited by papers focused on Topic Modeling (11 papers), Natural Language Processing Techniques (9 papers) and Multimodal Machine Learning Applications (5 papers). Di He collaborates with scholars based in China, United States and United Kingdom. Di He's co-authors include Tao Qin, Tie‐Yan Liu, Tie‐Yan Liu, Fei Tian, Xu Tan, Liwei Wang, Zhuohan Li, Yiren Wang, ChengXiang Zhai and Yuanzhi Li and has published in prestigious journals such as Advanced Science, Decision Support Systems and International journal of greenhouse gas control.

In The Last Decade

Di He

25 papers receiving 478 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Di He China	12	354	185	47	40	27	26	508
Yutao Zhu China	13	274 0.8×	75 0.4×	170 3.6×	30 0.8×	18 0.7×	51	487
Laura Morán‐Fernández Spain	8	132 0.4×	58 0.3×	33 0.7×	12 0.3×	14 0.5×	26	308
Wajdi Dhifli France	9	108 0.3×	40 0.2×	110 2.3×	44 1.1×	21 0.8×	22	297
Sheng Zhou China	11	216 0.6×	125 0.7×	108 2.3×	31 0.8×	10 0.4×	30	342
Kiran Rama India	4	121 0.3×	50 0.3×	136 2.9×	21 0.5×	12 0.4×	5	283
Siteng Huang China	8	232 0.7×	151 0.8×	12 0.3×	46 1.1×	83 3.1×	17	441
Roy Wedge United States	2	162 0.5×	39 0.2×	31 0.7×	41 1.0×	29 1.1×	2	292
Liangjun Yu China	8	278 0.8×	53 0.3×	102 2.2×	21 0.5×	12 0.4×	10	390
Alejandro Moreo Italy	11	354 1.0×	64 0.3×	95 2.0×	12 0.3×	17 0.6×	45	467
Muhammad Azeem China	10	169 0.5×	149 0.8×	47 1.0×	19 0.5×	15 0.6×	30	356

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Gao, Zhifeng, Siyuan Liu, Hongshuai Wang, et al.. (2025). End‐to‐End Crystal Structure Prediction from Powder X‐Ray Diffraction. Advanced Science. 12(8). e2410722–e2410722. 9 indexed citations

He, Di, et al.. (2024). Pore-scale experimental investigation of flow-through drying in porous media. Drying Technology. 43(3). 555–565.

He, Di, et al.. (2023). Light Field Surface Feature and Spherical Descriptor in the Surface Scale Space. IEEE Signal Processing Letters. 30. 803–807. 1 indexed citations

Zhang, Yueyi, Di He, & Qingyue Wu. (2023). Forecasting of PM2.5 concentration time series based on SSA-LSTM model. 74–74. 1 indexed citations

He, Di, et al.. (2022). Experimental investigation of the mechanism of salt precipitation in the fracture during CO2 geological sequestration. International journal of greenhouse gas control. 118. 103693–103693. 29 indexed citations

He, Di, et al.. (2022). Short-term Traffic Flow Prediction based on GMO-DELM. 260–264. 1 indexed citations

He, Di, et al.. (2020). I4R: Promoting Deep Reinforcement Learning by the Indicator for Expressive Representations. 2669–2675. 3 indexed citations

He, Di, et al.. (2019). Efficient Training of BERT by Progressively Stacking. International Conference on Machine Learning. 2337–2346. 39 indexed citations

Sun, Zhiqing, Zhuohan Li, Haoqing Wang, et al.. (2019). Fast Structured Decoding for Sequence Models. Neural Information Processing Systems. 32. 3016–3026. 21 indexed citations

10.

Wang, Xiting, et al.. (2019). Towards a Deep and Unified Understanding of Deep Neural Models in NLP. International Conference on Machine Learning. 2454–2463. 43 indexed citations

11.

Lu, Yiping, Zhuohan Li, Di He, et al.. (2019). Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View. International Conference on Learning Representations. 3 indexed citations

12.

Li, Zhuohan, Zi Lin, Di He, et al.. (2019). Hint-Based Training for Non-Autoregressive Machine Translation. 5707–5712. 29 indexed citations

13.

Wang, Yiren, Fei Tian, Di He, et al.. (2019). Non-Autoregressive Machine Translation with Auxiliary Regularization. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 5377–5384. 78 indexed citations

14.

Gong, Chengyue, Di He, Xu Tan, et al.. (2018). FRAGE: Frequency-Agnostic Word Representation. Neural Information Processing Systems. 31. 1334–1345. 26 indexed citations

15.

Li, Zhuohan, Di He, Fei Tian, et al.. (2018). Towards Binary-Valued Gates for Robust LSTM Training. International Conference on Machine Learning. 2995–3004. 2 indexed citations

16.

Shen, Yanyao, Xu Tan, Di He, Tao Qin, & Tie‐Yan Liu. (2018). Dense Information Flow for Neural Machine Translation. 1294–1303. 18 indexed citations

17.

Yao, Lihong, Junjie Wang, Ping Jiang, et al.. (2017). In vitro Dosimetric Study of Biliary Stent Loaded with Radioactive 125I Seeds. Chinese Medical Journal. 130(9). 1093–1099. 8 indexed citations

18.

Chen, Wei, Di He, Tie‐Yan Liu, et al.. (2014). Generalized second price auction with probabilistic broad match. 28. 39–56. 9 indexed citations

19.

Wang, Yining, Liwei Wang, Yuanzhi Li, Di He, & Tie‐Yan Liu. (2013). A Theoretical Analysis of NDCG Type Ranking Measures. Conference on Learning Theory. 25–54. 61 indexed citations

20.

He, Di, Wei Chen, Liwei Wang, & Tie‐Yan Liu. (2013). A game- heoretic machine learning approach for revenue maximization in sponsored search. arXiv (Cornell University). 206–212. 20 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.

Explore authors with similar magnitude of impact