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.
This map shows the geographic impact of Shang-Wen Li'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 Shang-Wen Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shang-Wen Li more than expected).
This network shows the impact of papers produced by Shang-Wen Li. 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 Shang-Wen Li. The network helps show where Shang-Wen Li may publish in the future.
Co-authorship network of co-authors of Shang-Wen Li
This figure shows the co-authorship network connecting the top 25 collaborators of Shang-Wen Li.
A scholar is included among the top collaborators of Shang-Wen Li 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 Shang-Wen Li. Shang-Wen Li is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Lee, Hung-yi, Shang-Wen Li, & Thang X. Vu. (2022). Meta Learning for Natural Language Processing: A Survey. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 666–684.19 indexed citations
7.
Chuang, Yung-Sung, Hongyin Luo, Yang Zhang, et al.. (2022). DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 4207–4218.90 indexed citations
Li, Shang-Wen. (2009). Summarization of Laser Ignition Characteristics of Solid Propellants. Chinese Journal of Energetic Materials.3 indexed citations
13.
Li, Shang-Wen. (2007). Effect of Combustion Catalysts on the Combustion Properties of TEGDN Gun Propellant. Chinese Journal of Explosives and Propellants.
14.
Li, Shang-Wen. (2007). Thermal Decomposition Behavior of Mixed Nitric Ester Gun Propellant under Dynamic Atmosphere. Chinese Journal of Explosives and Propellants.1 indexed citations
15.
Li, Shang-Wen. (2006). Combustion Energy Determination of Lead Salt of 4-Hydroxy-3,5-dinitropyridine and its Catalysis for RDX-CMDB Propellant Combustion. Chinese Journal of Energetic Materials.1 indexed citations
16.
Li, Shang-Wen. (2005). Energy Characteristics of Propellant Containing 3,4-Dinitrofurazanfuroxan (DNTF).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.