Hui Di

433 total citations
10 papers, 100 citations indexed

About

Hui Di is a scholar working on Artificial Intelligence, Industrial and Manufacturing Engineering and Oceanography. According to data from OpenAlex, Hui Di has authored 10 papers receiving a total of 100 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 2 papers in Industrial and Manufacturing Engineering and 2 papers in Oceanography. Recurrent topics in Hui Di's work include Topic Modeling (6 papers), Natural Language Processing Techniques (5 papers) and Multimodal Machine Learning Applications (2 papers). Hui Di is often cited by papers focused on Topic Modeling (6 papers), Natural Language Processing Techniques (5 papers) and Multimodal Machine Learning Applications (2 papers). Hui Di collaborates with scholars based in China and Japan. Hui Di's co-authors include Xingpeng Liu, Zhijun Tong, Qing Ma, Jiquan Zhang, Jiquan Zhang, Ze Liu, Jinan Xu, Sijia Li, Lei Shen and Tiejun Zhao and has published in prestigious journals such as International Journal of Environmental Research and Public Health, Information Fusion and Applied Acoustics.

In The Last Decade

Hui Di

10 papers receiving 100 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hui Di China 5 36 20 20 17 17 10 100
Maciek Strak Netherlands 4 39 1.1× 14 0.7× 7 0.3× 74 4.4× 3 0.2× 4 117
Marija Živković Serbia 7 30 0.8× 16 0.8× 5 0.3× 144 8.5× 5 0.3× 14 242
Abdulbasit Almhafdy Saudi Arabia 9 24 0.7× 5 0.3× 4 0.2× 63 3.7× 5 0.3× 24 351
Hong Soo Lim South Korea 8 15 0.4× 5 0.3× 3 0.1× 27 1.6× 6 0.4× 14 324
Eric Cornelissen Greece 5 38 1.1× 13 0.7× 7 0.3× 212 12.5× 3 0.2× 5 248
Runming Yao United Kingdom 5 49 1.4× 8 0.4× 5 0.3× 121 7.1× 2 0.1× 10 244
Shannon Cowlin United States 4 10 0.3× 25 1.3× 25 1.3× 180 10.6× 5 0.3× 7 222
Ming-Yi Tsai United States 3 18 0.5× 14 0.7× 4 0.2× 76 4.5× 3 102
Xiucheng Liang Singapore 7 57 1.6× 9 0.5× 3 0.1× 111 6.5× 2 0.1× 14 266

Countries citing papers authored by Hui Di

Since Specialization
Citations

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

Fields of papers citing papers by Hui Di

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hui Di

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

All Works

10 of 10 papers shown
1.
Wu, Shuangzhi, et al.. (2023). Multi-view fusion for universal translation quality estimation. Information Fusion. 102. 102022–102022. 2 indexed citations
2.
Wu, Shuangzhi, et al.. (2023). Improving Translation Quality Estimation with Bias Mitigation. 2175–2190. 2 indexed citations
3.
Di, Hui, et al.. (2022). Multi-source inverse-curriculum-based training for low-resource dialogue generation. Applied Intelligence. 53(11). 13665–13676. 2 indexed citations
4.
Di, Hui, et al.. (2021). Modeling semantic and emotional relationship in multi-turn emotional conversations using multi-task learning. Applied Intelligence. 52(4). 4663–4673. 10 indexed citations
5.
Di, Hui, et al.. (2021). Syntactically Diverse Adversarial Network for Knowledge-Grounded Conversation Generation. 4620–4630. 1 indexed citations
6.
Di, Hui, et al.. (2021). Boost Transformer with BERT and copying mechanism for ASR error correction. 1–6. 4 indexed citations
7.
Di, Hui, et al.. (2019). Estimation of the Spatial Suitability of Winter Tourism Destinations Based on Copula Functions. International Journal of Environmental Research and Public Health. 16(2). 186–186. 19 indexed citations
8.
Zhang, Jiquan, et al.. (2018). Evaluating CDOM Sources UsingExcitation-Emission Matrix Fluorescenceand Parallel Factor Analysis, and their Linksto Water Quality in Highly Polluted Riversin China. Polish Journal of Environmental Studies. 28(3). 1203–1214. 6 indexed citations
9.
Di, Hui, et al.. (2018). Estimation of the quality of an urban acoustic environment based on traffic noise evaluation models. Applied Acoustics. 141. 115–124. 40 indexed citations
10.
Li, Sijia, et al.. (2018). The Human Health Assessment to Phthalate Acid Esters (PAEs) and Potential Probability Prediction by Chromophoric Dissolved Organic Matter EEM-FRI Fluorescence in Erlong Lake. International Journal of Environmental Research and Public Health. 15(6). 1109–1109. 14 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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