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.
A Comprehensive Survey of Graph Embedding: Problems, Techniques, and Applications
20181.2k citationsVincent W. Zheng, Kevin Chen–Chuan Chang et al.IEEE Transactions on Knowledge and Data Engineeringprofile →
Towards Reasoning in Large Language Models: A Survey
2023195 citationsJie Huang, Kevin Chen–Chuan Changprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
Countries citing papers authored by Kevin Chen–Chuan Chang
Since
Specialization
Citations
This map shows the geographic impact of Kevin Chen–Chuan Chang'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 Kevin Chen–Chuan Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin Chen–Chuan Chang more than expected).
Fields of papers citing papers by Kevin Chen–Chuan Chang
This network shows the impact of papers produced by Kevin Chen–Chuan Chang. 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 Kevin Chen–Chuan Chang. The network helps show where Kevin Chen–Chuan Chang may publish in the future.
Co-authorship network of co-authors of Kevin Chen–Chuan Chang
This figure shows the co-authorship network connecting the top 25 collaborators of Kevin Chen–Chuan Chang.
A scholar is included among the top collaborators of Kevin Chen–Chuan Chang 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 Kevin Chen–Chuan Chang. Kevin Chen–Chuan Chang is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Fang, Yuan, Wenqing Lin, Vincent W. Zheng, et al.. (2019). Metagraph-Based Learning on Heterogeneous Graphs. IEEE Transactions on Knowledge and Data Engineering. 33(1). 154–168.25 indexed citations
Lin, Miao, Hong Cao, Vincent W. Zheng, Kevin Chen–Chuan Chang, & Shonali Krishnaswamy. (2015). Mobility profiling for user verification with anonymized location data. International Conference on Artificial Intelligence. 960–966.9 indexed citations
Small, Kevin, et al.. (2010). Object Search: Supporting Structured Queries in Web Search Engines. North American Chapter of the Association for Computational Linguistics. 44–52.2 indexed citations
12.
Chang, Kevin Chen–Chuan, et al.. (2007). Entity search engine: Towards agile best-effort information integration over the Web. Conference on Innovative Data Systems Research. 108–113.35 indexed citations
13.
Chuang, Shui‐Lung, Kevin Chen–Chuan Chang, & ChengXiang Zhai. (2007). Context-aware wrapping: synchronized data extraction. Very Large Data Bases. 699–710.28 indexed citations
14.
Cheng, Tao, Xifeng Yan, & Kevin Chen–Chuan Chang. (2007). EntityRank: searching entities directly and holistically. Very Large Data Bases. 387–398.109 indexed citations
15.
Srivastava, Mani, Jeffrey A Burke, Mark Hansen, et al.. (2006). Network System Challenges in Selective Sharing and Verification for Personal, Social, and Urban-Scale Sensing Applications. eScholarship (California Digital Library).13 indexed citations
16.
Li, Chengkai, Mohamed A. Soliman, Kevin Chen–Chuan Chang, & Ihab F. Ilyas. (2005). RankSQL: supporting ranking queries in relational database management systems. Very Large Data Bases. 1342–1345.15 indexed citations
17.
Zhang, Zhen, Bin He, & Kevin Chen–Chuan Chang. (2005). Light-weight domain-based form assistant: querying web databases on the fly. Very Large Data Bases. 97–108.38 indexed citations
18.
Chang, Kevin Chen–Chuan & Héctor García-Molina. (2000). Approximate Query Translation Across Heterogeneous Information Sources. Very Large Data Bases. 566–577.18 indexed citations
19.
Li, Wen‐Syan, et al.. (1998). PowerBookmarks: An Advanced Web Bookmark Database System and its Information Sharing and Management.. Kluwer Academic Publishers eBooks. 200–209.1 indexed citations
20.
Gravano, Luis, Kevin Chen–Chuan Chang, Héctor García-Molina, & Andreas Paepcke. (1997). STARTS: Stanford Proposal for Internet Meta-Searching (Experience Paper).. International Conference on Management of Data. 207–218.2 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.