Citations per year, relative to Joey Liu Joey Liu (= 1×)
peers
Xiaoli Sun
Countries citing papers authored by Joey Liu
Since
Specialization
Citations
This map shows the geographic impact of Joey Liu'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 Joey Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joey Liu more than expected).
This network shows the impact of papers produced by Joey Liu. 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 Joey Liu. The network helps show where Joey Liu may publish in the future.
Co-authorship network of co-authors of Joey Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Joey Liu.
A scholar is included among the top collaborators of Joey Liu 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 Joey Liu. Joey Liu is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Hasan, Sadid A., Ling Yuan, Oladimeji Farri, et al.. (2018). Overview of ImageCLEF 2018 Medical Domain Visual Question Answering Task.. ArODES (HES-SO (https://www.hes-so.ch/)).26 indexed citations
5.
Hasan, Sadid A., Joey Liu, Ling Yuan, et al.. (2018). Towards Dataset Creation And Establishing Baselines for Sentence-level Neural Clinical Paraphrase Generation and Simplification.. International Joint Conference on Artificial Intelligence. 45–52.5 indexed citations
6.
Yuan, Ling, Sadid A. Hasan, Vivek V. Datla, et al.. (2017). Diagnostic Inferencing via Improving Clinical Concept Extraction with Deep Reinforcement Learning: A Preliminary Study. 271–285.18 indexed citations
7.
Hasan, Sadid A., Ling Yuan, Joey Liu, et al.. (2017). PRNA at ImageCLEF 2017 Caption Prediction and Concept Detection Tasks.. CLEF (Working Notes).9 indexed citations
8.
Filannino, Michele, et al.. (2017). Extracting and Normalizing Adverse Drug Reactions from Drug Labels.. Theory and applications of categories.2 indexed citations
9.
Yuan, Ling, Sadid A. Hasan, Vivek V. Datla, et al.. (2017). Learning to Diagnose: Assimilating Clinical Narratives using Deep Reinforcement Learning. International Joint Conference on Natural Language Processing. 1. 895–905.10 indexed citations
10.
Datla, Vivek V., Joey Liu, Sadid A. Hasan, et al.. (2017). Open domain real-time question answering based on asynchronous multiperspective context-driven retrieval and neural paraphrasing.. Text REtrieval Conference.2 indexed citations
11.
Yuan, Ling, Sadid A. Hasan, Michele Filannino, et al.. (2017). A Hybrid Approach to Precision Medicine-related Biomedical Article Retrieval and Clinical Trial Matching.. Text REtrieval Conference.2 indexed citations
12.
Lee, Kathy, Ashequl Qadir, Vivek V. Datla, et al.. (2016). Assorted Textual Features and Dynamic Push Strategies for Real-time Tweet Notification.. Text REtrieval Conference.
13.
Hasan, Sadid A., Bo Liu, Joey Liu, et al.. (2016). Neural Clinical Paraphrase Generation with Attention. International Conference on Computational Linguistics. 42–53.16 indexed citations
14.
Hasan, Sadid A., Siyuan Zhao, Vivek V. Datla, et al.. (2016). Clinical Question Answering using Key-Value Memory Networks and Knowledge Graph.. Text REtrieval Conference.4 indexed citations
15.
Datla, Vivek V., Sadid A. Hasan, Joey Liu, et al.. (2016). Open Domain Real-Time Question Answering Based on Semantic and Syntactic Question Similarity.. Text REtrieval Conference.3 indexed citations
16.
Hasan, Sadid A., Ling Yuan, Joey Liu, & Oladimeji Farri. (2015). Using Neural Embeddings for Diagnostic Inferencing in Clinical Question Answering.. Text REtrieval Conference.7 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.