Lushan Han

687 total citations
14 papers, 344 citations indexed

About

Lushan Han is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Lushan Han has authored 14 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 4 papers in Information Systems and 3 papers in Molecular Biology. Recurrent topics in Lushan Han's work include Natural Language Processing Techniques (9 papers), Semantic Web and Ontologies (8 papers) and Topic Modeling (6 papers). Lushan Han is often cited by papers focused on Natural Language Processing Techniques (9 papers), Semantic Web and Ontologies (8 papers) and Topic Modeling (6 papers). Lushan Han collaborates with scholars based in United States and Spain. Lushan Han's co-authors include Tim Finin, Jonathan Weese, James Mayfield, Anupam Joshi, Yelena Yesha, Paul McNamee, Roberto Yus, Sunil Gandhi, Justin Martineau and Christopher Thomas and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, Language Resources and Evaluation and Maryland Shared Open Access Repository (USMAI Consortium).

In The Last Decade

Lushan Han

13 papers receiving 307 citations

Peers

Lushan Han

AI

IS

MB

MSOR

CNC

Olli Alm Finland

Arian Pasquali Portugal

Pamela Forner Spain

Yusuke Shinyama United States

David Guthrie United Kingdom

Antske Fokkens Netherlands

Ben Allison United Kingdom

Hongkui Yu China

Valentin I. Spitkovsky United States

Christos Christodoulopoulos United Kingdom

Olli Alm Finland

Lushan Han

216 ×0.7

AI

90 ×1.5

IS

23 ×0.6

MB

26 ×1.0

MSOR

35 ×1.5

CNC

Citations per year, relative to Lushan Han Lushan Han (= 1×) peers Olli Alm

Countries citing papers authored by Lushan Han

Since Specialization

Citations

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

Fields of papers citing papers by Lushan Han

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lushan Han

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

All Works

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14 of 14 papers shown

1.

Parr, Cynthia, et al.. (2024). RDF123 and Spotter: Tools for generating OWL and RDF for biodiversity data in spreadsheets and unstructured text. Maryland Shared Open Access Repository (USMAI Consortium).

2.

Han, Lushan, et al.. (2015). Robust semantic text similarity using LSA, machine learning, and linguistic resources. Language Resources and Evaluation. 50(1). 125–161. 32 indexed citations

3.

Han, Lushan, et al.. (2015). Samsung: Align-and-Differentiate Approach to Semantic Textual Similarity. 172–177. 11 indexed citations

4.

Han, Lushan, et al.. (2015). Querying RDF data with text annotated graphs. 1–12. 3 indexed citations

5.

Han, Lushan, et al.. (2014). Meerkat Mafia: Multilingual and Cross-Level Semantic Textual Similarity Systems. Maryland Shared Open Access Repository (USMAI Consortium). 416–423. 18 indexed citations

6.

Han, Lushan, et al.. (2013). UMBC_EBIQUITY-CORE: Semantic Textual Similarity Systems. Maryland Shared Open Access Repository (USMAI Consortium). 1. 44–52. 204 indexed citations

7.

Han, Lushan, Tim Finin, Paul McNamee, Anupam Joshi, & Yelena Yesha. (2012). Improving Word Similarity by Augmenting PMI with Estimates of Word Polysemy. IEEE Transactions on Knowledge and Data Engineering. 25(6). 1307–1322. 43 indexed citations

8.

Han, Lushan, Tim Finin, & Anupam Joshi. (2012). GoRelations: Towards an Intuitive Query System for RDF Data. Maryland Shared Open Access Repository (USMAI Consortium). 1 indexed citations

9.

Han, Lushan, Tim Finin, & Anupam Joshi. (2012). Schema-free structured querying of DBpedia data. Maryland Shared Open Access Repository (USMAI Consortium). 2090–2093. 14 indexed citations

10.

Han, Lushan, Tim Finin, & Yelena Yesha. (2009). Finding Semantic Web Ontology Terms from Words. Maryland Shared Open Access Repository (USMAI Consortium). 4 indexed citations

11.

Han, Lushan, et al.. (2009). Finding Appropriate Semantic Web Ontology Terms from Words. Maryland Shared Open Access Repository (USMAI Consortium). 2 indexed citations

12.

Han, Lushan, Cynthia Parr, Joel Sachs, Anupam Joshi, & Tim Finin. (2007). RDF123: a mechanism to transform spreadsheets to RDF. Maryland Shared Open Access Repository (USMAI Consortium). 4 indexed citations

13.

Parr, Cynthia, Joel Sachs, Rong Pan, et al.. (2006). Using the Semantic Web to Integrate Ecoinformatics Resources. Maryland Shared Open Access Repository (USMAI Consortium). 1949–1950. 2 indexed citations

14.

Sachs, Joel, Cynthia Parr, Rong Pan, et al.. (2006). Using the Semantic Web to Support Ecoinformatics. Maryland Shared Open Access Repository (USMAI Consortium). 56–61. 6 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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