Wang-Cheng Kang

4.2k total citations · 1 hit paper
13 papers, 1.9k citations indexed

About

Wang-Cheng Kang is a scholar working on Information Systems, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Wang-Cheng Kang has authored 13 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Information Systems, 5 papers in Computer Vision and Pattern Recognition and 5 papers in Artificial Intelligence. Recurrent topics in Wang-Cheng Kang's work include Recommender Systems and Techniques (7 papers), Advanced Graph Neural Networks (4 papers) and Generative Adversarial Networks and Image Synthesis (3 papers). Wang-Cheng Kang is often cited by papers focused on Recommender Systems and Techniques (7 papers), Advanced Graph Neural Networks (4 papers) and Generative Adversarial Networks and Image Synthesis (3 papers). Wang-Cheng Kang collaborates with scholars based in United States, Dominican Republic and China. Wang-Cheng Kang's co-authors include Julian McAuley, Wu-Jun Li, Zhi‐Hua Zhou, Zhaowen Wang, Fang Chen, Jure Leskovec, Charles Rosenberg, Ruining He, Eric Kim and Lichan Hong and has published in prestigious journals such as Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Wang-Cheng Kang

12 papers receiving 1.9k citations

Hit Papers

align trajectories

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.

Self-Attentive Sequential Recommendation

2018 1.4k citations Wang-Cheng Kang, Julian McAuley profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wang-Cheng Kang United States	9	1.4k	1.1k	730	383	132	13	1.9k
Changhua Pei China	10	1.2k 0.8×	988 0.9×	380 0.5×	339 0.9×	223 1.7×	30	1.6k
Ying Fan China	9	1.6k 1.1×	1.1k 1.0×	747 1.0×	374 1.0×	303 2.3×	24	2.1k
Yue Shi Netherlands	19	1.5k 1.1×	882 0.8×	570 0.8×	398 1.0×	264 2.0×	45	2.0k
Qinyong Wang China	15	1.2k 0.9×	1.1k 1.0×	330 0.5×	215 0.6×	184 1.4×	26	1.6k
Xiaoqiang Zhu China	8	1.8k 1.3×	1.3k 1.1×	823 1.1×	453 1.2×	328 2.5×	15	2.3k
Yanghui Yan China	5	967 0.7×	628 0.6×	404 0.6×	233 0.6×	171 1.3×	6	1.2k
Jinoh Oh South Korea	14	812 0.6×	662 0.6×	324 0.4×	133 0.3×	153 1.2×	30	1.1k
Ruobing Xie China	26	934 0.6×	2.1k 1.8×	400 0.5×	577 1.5×	102 0.8×	99	2.4k
Leyu Lin China	23	877 0.6×	1.0k 0.9×	268 0.4×	269 0.7×	107 0.8×	60	1.4k

Countries citing papers authored by Wang-Cheng Kang

Since Specialization

Citations

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

Fields of papers citing papers by Wang-Cheng Kang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wang-Cheng Kang. 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 Wang-Cheng Kang. The network helps show where Wang-Cheng Kang may publish in the future.

Co-authorship network of co-authors of Wang-Cheng Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Wang-Cheng Kang. A scholar is included among the top collaborators of Wang-Cheng Kang 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 Wang-Cheng Kang. Wang-Cheng Kang 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:

13 of 13 papers shown

1.

Coleman, Benjamin, Wang-Cheng Kang, Jianmo Ni, et al.. (2024). Improving Data Efficiency for Recommenders and LLMs. 790–792.

2.

Kang, Wang-Cheng, et al.. (2024). First Workshop on Generative AI for Recommender Systems and Personalization. 6737–6738. 1 indexed citations

3.

Cheng, Derek Zhiyuan, Wang-Cheng Kang, Benjamin Coleman, et al.. (2023). Efficient Data Representation Learning in Google-scale Systems. 267–271. 1 indexed citations

4.

Kang, Wang-Cheng, Derek Zhiyuan Cheng, Tiansheng Yao, et al.. (2021). Learning to Embed Categorical Features without Embedding Tables for Recommendation. 840–850. 32 indexed citations

5.

Kang, Wang-Cheng, Derek Zhiyuan Cheng, Ting Chen, et al.. (2020). Learning Multi-granular Quantized Embeddings for Large-Vocab Categorical Features in Recommender Systems. 562–566. 21 indexed citations

6.

Kang, Wang-Cheng & Julian McAuley. (2019). Candidate Generation with Binary Codes for Large-Scale Top-N Recommendation. 1523–1532. 33 indexed citations

7.

Kang, Wang-Cheng, Eric Kim, Jure Leskovec, Charles Rosenberg, & Julian McAuley. (2019). Complete the Look: Scene-Based Complementary Product Recommendation. 10524–10533. 48 indexed citations

8.

Kang, Wang-Cheng, Mengting Wan, & Julian McAuley. (2018). Recommendation Through Mixtures of Heterogeneous Item Relationships. 1143–1152. 25 indexed citations

9.

He, Ruining, Wang-Cheng Kang, & Julian McAuley. (2018). Translation-based Recommendation: A Scalable Method for Modeling Sequential Behavior. 5264–5268. 30 indexed citations

10.

Kang, Wang-Cheng & Julian McAuley. (2018). Self-Attentive Sequential Recommendation. 197–206. 1380 indexed citations breakdown →

11.

Kang, Wang-Cheng, Fang Chen, Zhaowen Wang, & Julian McAuley. (2017). Visually-Aware Fashion Recommendation and Design with Generative Image Models. 207–216. 145 indexed citations

12.

Kang, Wang-Cheng, Wu-Jun Li, & Zhi‐Hua Zhou. (2016). Column Sampling Based Discrete Supervised Hashing. Proceedings of the AAAI Conference on Artificial Intelligence. 30(1). 222 indexed citations

13.

Yuan, Shih‐Yi, et al.. (2016). Near field program-dependent EMI measurement and data reduction for IOMarking method. 933–936. 8 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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