Jinbae Im

527 total citations
4 papers, 245 citations indexed

About

Jinbae Im is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jinbae Im has authored 4 papers receiving a total of 245 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 1 paper in Information Systems and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Jinbae Im's work include Topic Modeling (3 papers), Advanced Text Analysis Techniques (2 papers) and Recommender Systems and Techniques (1 paper). Jinbae Im is often cited by papers focused on Topic Modeling (3 papers), Advanced Text Analysis Techniques (2 papers) and Recommender Systems and Techniques (1 paper). Jinbae Im collaborates with scholars based in South Korea. Jinbae Im's co-authors include Hoyeop Lee, Hyunsouk Cho, Sehee Chung, Seongwon Jang, Sungzoon Cho and Seunghyun Park and has published in prestigious journals such as Neurocomputing.

In The Last Decade

Jinbae Im

4 papers receiving 236 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jinbae Im South Korea	4	183	177	63	57	14	4	245
Sehee Chung South Korea	4	181 1.0×	186 1.1×	66 1.0×	50 0.9×	13 0.9×	6	245
Biao Li China	8	130 0.7×	161 0.9×	75 1.2×	56 1.0×	21 1.5×	13	220
Gabriel de Souza Pereira Moreira United States	7	144 0.8×	185 1.0×	38 0.6×	47 0.8×	14 1.0×	18	220
Teng Xiao China	9	182 1.0×	176 1.0×	66 1.0×	47 0.8×	25 1.8×	17	259
Shuqing Bian China	8	323 1.8×	305 1.7×	56 0.9×	79 1.4×	16 1.1×	11	409
Hyunsouk Cho South Korea	7	201 1.1×	189 1.1×	73 1.2×	61 1.1×	22 1.6×	13	284
Chenxu Zhu China	7	155 0.8×	187 1.1×	40 0.6×	76 1.3×	20 1.4×	16	246
Tianxin Wei United States	5	218 1.2×	247 1.4×	107 1.7×	42 0.7×	13 0.9×	8	307
Yongjun Chen China	5	198 1.1×	213 1.2×	49 0.8×	74 1.3×	14 1.0×	14	287

Countries citing papers authored by Jinbae Im

Since Specialization

Citations

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

Fields of papers citing papers by Jinbae Im

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinbae Im

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

All Works

Sort: Min cites: Since: Top N: Style:

4 of 4 papers shown

1.

Im, Jinbae, et al.. (2024). EGTR: Extracting Graph from Transformer for Scene Graph Generation. 24229–24238. 10 indexed citations

2.

Im, Jinbae, et al.. (2021). Self-Supervised Multimodal Opinion Summarization. 19 indexed citations

3.

Lee, Hoyeop, Jinbae Im, Seongwon Jang, Hyunsouk Cho, & Sehee Chung. (2019). MeLU. 1073–1082. 209 indexed citations

4.

Im, Jinbae, et al.. (2018). Applying convolution filter to matrix of word-clustering based document representation. Neurocomputing. 315. 210–220. 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.

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