Yichao Lu

1.2k total citations
21 papers, 575 citations indexed

About

Yichao Lu is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yichao Lu has authored 21 papers receiving a total of 575 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 6 papers in Information Systems and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yichao Lu's work include Topic Modeling (9 papers), Recommender Systems and Techniques (6 papers) and Natural Language Processing Techniques (6 papers). Yichao Lu is often cited by papers focused on Topic Modeling (9 papers), Recommender Systems and Techniques (6 papers) and Natural Language Processing Techniques (6 papers). Yichao Lu collaborates with scholars based in United States, Canada and Ireland. Yichao Lu's co-authors include Barry Smyth, Ruihai Dong, Vikas Bhardwaj, Paramveer S. Dhillon, Lyle Ungar, Dean P. Foster, Sanja Fidler, Steve Easterbrook, Wei Yu and Maksims Volkovs and has published in prestigious journals such as Journal of Magnetism and Magnetic Materials, Applied Physics Express and Nature Machine Intelligence.

In The Last Decade

Yichao Lu

21 papers receiving 547 citations

Peers

Yichao Lu
Yi Zhu China
Yihong Gong United States
Mengdi Zhang China
Taylor Shin United States
Chunyu Yang China
Yutao Zhu China
Liangyue Li United States
Mahmudur Rahman United States
Eleftherios Spyromitros-Xioufis Greece
Zihan Zhang China
Yi Zhu China
Yichao Lu
Citations per year, relative to Yichao Lu Yichao Lu (= 1×) peers Yi Zhu

Countries citing papers authored by Yichao Lu

Since Specialization
Citations

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

Fields of papers citing papers by Yichao Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yichao Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Yichao Lu. A scholar is included among the top collaborators of Yichao Lu 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 Yichao Lu. Yichao Lu 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.
Krenn, Mario, Lorenzo Buffoni, Bruno Coutinho, et al.. (2023). Forecasting the future of artificial intelligence with machine learning-based link prediction in an exponentially growing knowledge network. Nature Machine Intelligence. 5(11). 1326–1335. 36 indexed citations
2.
Wang, Jiong, et al.. (2023). Frontline governmental cooperation in environmental governance: A case analysis on the ecological demonstration zone in China. Frontiers in Environmental Science. 11. 3 indexed citations
3.
Lu, Yichao & Maksims Volkovs. (2023). Robust User Engagement Modeling With Transformers and Self Supervision. 23–27. 2 indexed citations
4.
Lu, Yichao, et al.. (2021). Weakly Supervised Extractive Summarization with Attention. 520–529. 2 indexed citations
5.
Lu, Yichao. (2021). Predicting Research Trends in Artificial Intelligence with Gradient Boosting Decision Trees and Time-aware Graph Neural Networks. 2021 IEEE International Conference on Big Data (Big Data). 5809–5814. 1 indexed citations
6.
7.
Lu, Yichao, Himanshu Rai, Jason S. Chang, et al.. (2021). Context-aware Scene Graph Generation with Seq2Seq Transformers. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 15911–15921. 51 indexed citations
8.
Yu, Wei, Yichao Lu, Steve Easterbrook, & Sanja Fidler. (2020). Efficient and Information-Preserving Future Frame Prediction and Beyond. International Conference on Learning Representations. 51 indexed citations
9.
Lu, Yichao, et al.. (2020). On the Evaluation of Contextual Embeddings for Zero-Shot Cross-Lingual Transfer Learning.. arXiv (Cornell University). 4 indexed citations
10.
11.
Volkovs, Maksims, et al.. (2019). Robust contextual models for in-session personalization. 1–5. 4 indexed citations
12.
Lu, Yichao, et al.. (2018). A neural interlingua for multilingual machine translation. 84–92. 50 indexed citations
13.
Lu, Yichao, Ruihai Dong, & Barry Smyth. (2018). Coevolutionary Recommendation Model. Research Repository UCD (University College Dublin). 773–782. 101 indexed citations
14.
Lu, Yichao, Ruihai Dong, & Barry Smyth. (2018). Convolutional Matrix Factorization for Recommendation Explanation. Research Repository UCD (University College Dublin). 1–2. 2 indexed citations
15.
Lu, Yichao, Ruihai Dong, & Barry Smyth. (2018). Why I like it. Research Repository UCD (University College Dublin). 4–12. 83 indexed citations
16.
Lu, Yichao, Wenbin You, Xue‐Feng Yu, et al.. (2018). Insights into the micro magnetic loss mechanism of microwave absorption by off-axis electron holography. Journal of Magnetism and Magnetic Materials. 475. 24–29. 20 indexed citations
17.
Volkovs, Maksims, et al.. (2018). Two-stage Model for Automatic Playlist Continuation at Scale. 1–6. 20 indexed citations
18.
Lin, Yu, Lei Wang, Jun Gao, et al.. (2017). Broadband working-waveband-tunable polarization converter based on anisotropic metasurface. Applied Physics Express. 10(3). 32001–32001. 12 indexed citations
19.
Lu, Yichao, Paramveer S. Dhillon, Dean P. Foster, & Lyle Ungar. (2013). Faster Ridge Regression via the Subsampled Randomized Hadamard Transform. ScholarlyCommons (University of Pennsylvania). 26. 369–377. 51 indexed citations
20.
Dhillon, Paramveer S., Yichao Lu, Dean P. Foster, & Lyle Ungar. (2013). New Subsampling Algorithms for Fast Least Squares Regression. ScholarlyCommons (University of Pennsylvania). 26. 360–368. 35 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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