Doo Soon Kim

581 total citations
10 papers, 158 citations indexed

About

Doo Soon Kim is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Doo Soon Kim has authored 10 papers receiving a total of 158 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Information Systems. Recurrent topics in Doo Soon Kim's work include Topic Modeling (8 papers), Natural Language Processing Techniques (5 papers) and Multimodal Machine Learning Applications (4 papers). Doo Soon Kim is often cited by papers focused on Topic Modeling (8 papers), Natural Language Processing Techniques (5 papers) and Multimodal Machine Learning Applications (4 papers). Doo Soon Kim collaborates with scholars based in United States, Switzerland and India. Doo Soon Kim's co-authors include Yuanlin Zhang, Bing Liu, Zhiqiang Gao, Qian Liu, Franck Dernoncourt, Trung Bui, Walter Chang, Logan Lebanoff, Fei Liu and Hwanhee Lee and has published in prestigious journals such as Language Resources and Evaluation, Empirical Methods in Natural Language Processing and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Doo Soon Kim

10 papers receiving 147 citations

Peers

Countries citing papers authored by Doo Soon Kim

Since Specialization

Citations

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

Fields of papers citing papers by Doo Soon Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Doo Soon Kim. 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 Doo Soon Kim. The network helps show where Doo Soon Kim may publish in the future.

Co-authorship network of co-authors of Doo Soon Kim

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

All Works

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10 of 10 papers shown

#	Work	Indexed citations
1	End-To-End Neural Coreference Resolution Revisited: A Simple Yet Effective Baseline 2022 ·ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ·Tuan Lai, Trung Bui, Doo Soon Kim	6
2	X-METRA-ADA: Cross-lingual Meta-Transfer learning Adaptation to Natural Language Understanding and Question Answering 2021 ·(unknown), Doo Soon Kim, Franck Dernoncourt, Trung Bui, Xiang Ren, Jonathan May	5
3	Learning to Fuse Sentences with Transformers for Summarization 2020 ·Logan Lebanoff, Franck Dernoncourt, Doo Soon Kim, Lidan Wang, Walter Chang, Fei Liu	8
4	ViLBERTScore: Evaluating Image Caption Using Vision-and-Language BERT 2020 ·Hwanhee Lee, Seunghyun Yoon, Franck Dernoncourt, Doo Soon Kim, Trung Bui, Kyomin Jung	23
5	Analyzing Sentence Fusion in Abstractive Summarization 2019 ·Logan Lebanoff, (unknown), Franck Dernoncourt, Doo Soon Kim, Seokhwan Kim, Walter Chang, Fei Liu	23
6	Edit me: A Corpus and a Framework for Understanding Natural Language Image Editing 2018 ·Language Resources and Evaluation ·(unknown), (unknown), Trung Bui, Walter Chang, Doo Soon Kim, Ron Artstein, Kallirroi Georgila	8
7	PhotoshopQuiA: A Corpus of Non-Factoid Questions and Answers for Why-Question Answering 2018 ·Language Resources and Evaluation ·(unknown), Thang Le Dinh, Walter Chang, Trung Bui, Doo Soon Kim, Manh Chiên Vu, Seokhwan Kim	5
8	Improving Opinion Aspect Extraction Using Semantic Similarity and Aspect Associations 2016 ·Proceedings of the AAAI Conference on Artificial Intelligence ·Qian Liu, Bing Liu, Yuanlin Zhang, Doo Soon Kim, Zhiqiang Gao	73
9	Joint Extraction and Labeling via Graph Propagation for Dictionary Construction 2013 ·Proceedings of the AAAI Conference on Artificial Intelligence ·Doo Soon Kim, Kunal Verma, Peter Z. Yeh	5
10	Building a Lightweight Semantic Model for Unsupervised Information Extraction on Short Listings 2012 ·Empirical Methods in Natural Language Processing ·Doo Soon Kim, Kunal Verma, Peter Z. Yeh	2

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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