Hiroaki Ohshima

595 total citations
50 papers, 219 citations indexed

About

Hiroaki Ohshima is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Hiroaki Ohshima has authored 50 papers receiving a total of 219 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 24 papers in Information Systems and 14 papers in Computer Vision and Pattern Recognition. Recurrent topics in Hiroaki Ohshima's work include Web Data Mining and Analysis (18 papers), Topic Modeling (13 papers) and Natural Language Processing Techniques (11 papers). Hiroaki Ohshima is often cited by papers focused on Web Data Mining and Analysis (18 papers), Topic Modeling (13 papers) and Natural Language Processing Techniques (11 papers). Hiroaki Ohshima collaborates with scholars based in Japan, United States and Norway. Hiroaki Ohshima's co-authors include Katsumi Tanaka, Makoto P. Kato, Takehiro Yamamoto, Satoshi Oyama, Yusuke Yamamoto, Zhicheng Dou, Yiqun Liu, Masayuki Hiromoto, Min Zhang and Christian Nitschke and has published in prestigious journals such as The Journal of Supercomputing, NIPPON SUISAN GAKKAISHI and Journal of Software.

In The Last Decade

Hiroaki Ohshima

42 papers receiving 198 citations

Peers

Hiroaki Ohshima
Hiroaki Ohshima
Citations per year, relative to Hiroaki Ohshima Hiroaki Ohshima (= 1×) peers Benjamin Sznajder

Countries citing papers authored by Hiroaki Ohshima

Since Specialization
Citations

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

Fields of papers citing papers by Hiroaki Ohshima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiroaki Ohshima

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

All Works

20 of 20 papers shown
1.
Ohshima, Hiroaki, et al.. (2024). Prediction of specific surface area of metal–organic frameworks by graph kernels. The Journal of Supercomputing. 80(9). 13027–13047. 2 indexed citations
2.
Kato, Makoto P., et al.. (2023). What Web Search Behaviors Lead to Online Purchase Satisfaction?. 324–334. 1 indexed citations
4.
Wang, Bowen, Liangzhi Li, Yuta Nakashima, et al.. (2021). Image Retrieval by Hierarchy-aware Deep Hashing Based on Multi-task Learning. 486–490. 2 indexed citations
5.
Kuboyama, Tetsuji, et al.. (2020). A Fast Algorithm for Unsupervised Feature Value Selection. 203–213.
6.
Ohshima, Hiroaki, et al.. (2018). Development and validation of an item set of simile interpretations for metaphor research. The Japanese journal of psychology. 90(1). 53–62. 2 indexed citations
7.
Yamamoto, Takehiro, Yiqun Liu, Zhicheng Dou, et al.. (2016). Overview of the NTCIR-12 IMine-2 Task.. NTCIR. 12 indexed citations
8.
Zhao, Meng, Hiroaki Ohshima, & Katsumi Tanaka. (2015). Sentential query rewriting via mutual reinforcement of paraphrase-coordinate relationships. 5175. 1–10. 1 indexed citations
9.
Yamamoto, Takehiro, Makoto P. Kato, Hiroaki Ohshima, & Katsumi Tanaka. (2014). KUIDL at the NTCIR-11 IMine Task. NTCIR. 1 indexed citations
10.
Liu, Yiqun, Ruihua Song, Min Zhang, et al.. (2014). Overview of the NTCIR-11 IMine Task. NTCIR. 33 indexed citations
11.
Nitschke, Christian, Yuki Minami, Masayuki Hiromoto, Hiroaki Ohshima, & Takashi Satō. (2014). A quadrocopter automatic control contest as an example of interdisciplinary design education. 678–685. 20 indexed citations
12.
Ohshima, Hiroaki, et al.. (2014). Ranking of Coordinate Terms and Hypernyms Using a Hypernym-Hyponym Dictionary. 15–21. 3 indexed citations
14.
Kato, Makoto P., Hiroaki Ohshima, & Katsumi Tanaka. (2012). Content-based retrieval for heterogeneous domains. 811–820. 4 indexed citations
15.
Kato, Makoto P., et al.. (2011). Information Extraction based Approach for the NTCIR-9 1CLICK Task. NTCIR. 5 indexed citations
16.
Ohshima, Hiroaki, et al.. (2011). Evaluating significance of historical entities based on tempo-spatial impacts analysis using Wikipedia link structure. Hokkaido University Collection of Scholarly and Academic Papers (Hokkaido University). 83–92. 11 indexed citations
17.
Ohshima, Hiroaki, et al.. (2007). Extracting Conceptural Hierarchies from the Web by Term Coordinate and Property Inheritance Relationships. IEICE Technical Report; IEICE Tech. Rep.. 2007(131). 127–132.
18.
Ohshima, Hiroaki, Satoshi Nakamura, & Katsumi Tanaka. (2007). SlothLib: A Programming Library for Researches on the Web. Pediatria Polska. 47(3). 289–96.
19.
Ohshima, Hiroaki, Satoshi Oyama, & Katsumi Tanaka. (2005). Web Search Personalization based on Semantic Relationships between Terms Extracted from Personal Documents. IPSJ SIG Notes. 2005(67). 105–111. 3 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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