Lingjia Deng

11 papers and 221 indexed citations i.

About

Lingjia Deng is a scholar working on Artificial Intelligence, Industrial relations and Aerospace Engineering. According to data from OpenAlex, Lingjia Deng has authored 11 papers receiving a total of 221 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 0 papers in Industrial relations and 0 papers in Aerospace Engineering. Recurrent topics in Lingjia Deng’s work include Topic Modeling (11 papers), Sentiment Analysis and Opinion Mining (10 papers) and Advanced Text Analysis Techniques (9 papers). Lingjia Deng is often cited by papers focused on Topic Modeling (11 papers), Sentiment Analysis and Opinion Mining (10 papers) and Advanced Text Analysis Techniques (9 papers). Lingjia Deng collaborates with scholars based in United States. Lingjia Deng's co-authors include Janyce Wiebe, Yoonjung Choi and Jonathan May and has published in prestigious journals such as D-Scholarship@Pitt (University of Pittsburgh), CiteSeer X (The Pennsylvania State University) and Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.

In The Last Decade

Co-authorship network of co-authors of Lingjia Deng i

Fields of papers citing papers by Lingjia Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lingjia Deng

Since Specialization
Citations

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

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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2025