Albert Q. Jiang

525 total citations
2 papers, 20 citations indexed

About

Albert Q. Jiang is a scholar working on Information Systems, Artificial Intelligence and Infectious Diseases. According to data from OpenAlex, Albert Q. Jiang has authored 2 papers receiving a total of 20 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Information Systems, 1 paper in Artificial Intelligence and 0 papers in Infectious Diseases. Recurrent topics in Albert Q. Jiang's work include Software Engineering Research (1 paper), Topic Modeling (1 paper) and Explainable Artificial Intelligence (XAI) (1 paper). Albert Q. Jiang is often cited by papers focused on Software Engineering Research (1 paper), Topic Modeling (1 paper) and Explainable Artificial Intelligence (XAI) (1 paper). Albert Q. Jiang collaborates with scholars based in Austria, United Kingdom and France. Albert Q. Jiang's co-authors include Yuhuai Wu, Katherine M. Collins, W. T. Gowers, Mateja Jamnik, Miri Zilka, Adrian Weller, Joshua B. Tenenbaum, Umang Bhatt, Andrea Lo and Wenda Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences.

In The Last Decade

Albert Q. Jiang

1 paper receiving 20 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Albert Q. Jiang Austria	1	9	4	2	2	2	2	20
Geoffrey Cideron France	2	12 1.3×	3 0.8×				3	13
Freda Shi United States	2	15 1.7×	3 0.8×		1 0.5×		3	31
J. Moon South Korea	3	11 1.2×	2 0.5×				4	18
A Salamah Spain	2	5 0.6×	3 0.8×				2	9
Vinija Jain United States	3	17 1.9×	4 1.0×		1 0.5×		11	28
Nestor Maslej United States	2	4 0.4×	3 0.8×				2	11
Renee Wong Canada	2	5 0.6×	2 0.5×				2	13
Mateo Espinosa Zarlenga United Kingdom	2	5 0.6×	2 0.5×	1 0.5×		1 0.5×	3	10
Anthony Ferritto United States	2	19 2.1×	2 0.5×				4	22
Zachary Kenton Germany	3	9 1.0×	1 0.3×	2 1.0×			5	17

Countries citing papers authored by Albert Q. Jiang

Since Specialization

Citations

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

Fields of papers citing papers by Albert Q. Jiang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Albert Q. Jiang. 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 Albert Q. Jiang. The network helps show where Albert Q. Jiang may publish in the future.

Co-authorship network of co-authors of Albert Q. Jiang

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

All Works

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2 of 2 papers shown

1.

Collins, Katherine M., Albert Q. Jiang, Miri Zilka, et al.. (2024). Evaluating language models for mathematics through interactions. Proceedings of the National Academy of Sciences. 121(24). e2318124121–e2318124121. 20 indexed citations

2.

Jamnik, Mateja, Albert Q. Jiang, Wenda Li, & Andrea Lo. (2024). End-to-End Ontology Learning with Large Language Models. 87184–87225.

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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