Michihisa Iida

2.5k total citations
116 papers, 1.4k citations indexed

About

Michihisa Iida is a scholar working on Plant Science, Oncology and Surgery. According to data from OpenAlex, Michihisa Iida has authored 116 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Plant Science, 27 papers in Oncology and 24 papers in Surgery. Recurrent topics in Michihisa Iida's work include Smart Agriculture and AI (24 papers), Pancreatic and Hepatic Oncology Research (12 papers) and Gastric Cancer Management and Outcomes (11 papers). Michihisa Iida is often cited by papers focused on Smart Agriculture and AI (24 papers), Pancreatic and Hepatic Oncology Research (12 papers) and Gastric Cancer Management and Outcomes (11 papers). Michihisa Iida collaborates with scholars based in Japan, South Korea and China. Michihisa Iida's co-authors include Masahiko Suguri, Mikio Umeda, Nobuaki Suzuki, Shigefumi Yoshino, Tomio Ueno, Shoichi Hazama, Shigeru Takeda, Chanseok Ryu, Yoshitaro Shindo and Shinsuke Kanekiyo and has published in prestigious journals such as Remote Sensing, Clinica Chimica Acta and Annals of Surgical Oncology.

In The Last Decade

Michihisa Iida

107 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michihisa Iida Japan 21 434 295 213 177 157 116 1.4k
Donghui Cao China 25 227 0.5× 312 1.1× 657 3.1× 152 0.9× 320 2.0× 109 2.0k
Baohua Zhang China 33 876 2.0× 318 1.1× 750 3.5× 373 2.1× 82 0.5× 146 3.1k
Shaoming Li China 26 354 0.8× 156 0.5× 696 3.3× 119 0.7× 129 0.8× 160 2.0k
Marko Hočevar Slovenia 32 617 1.4× 433 1.5× 206 1.0× 609 3.4× 430 2.7× 191 3.3k
Jingyu Hu China 20 98 0.2× 131 0.4× 253 1.2× 60 0.3× 57 0.4× 90 1.3k
Jianguang Zhang China 24 849 2.0× 200 0.7× 657 3.1× 83 0.5× 94 0.6× 114 2.5k
Jinglu Wang China 22 505 1.2× 143 0.5× 412 1.9× 47 0.3× 28 0.2× 80 2.0k
Zhaohui Hu China 20 131 0.3× 93 0.3× 406 1.9× 170 1.0× 75 0.5× 82 1.2k
Xiaochao Zhang China 19 68 0.2× 304 1.0× 255 1.2× 33 0.2× 108 0.7× 81 1.3k
Andrés Sanz-García Spain 20 129 0.3× 49 0.2× 420 2.0× 111 0.6× 56 0.4× 52 2.1k

Countries citing papers authored by Michihisa Iida

Since Specialization
Citations

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

Fields of papers citing papers by Michihisa Iida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michihisa Iida

This figure shows the co-authorship network connecting the top 25 collaborators of Michihisa Iida. A scholar is included among the top collaborators of Michihisa Iida 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 Michihisa Iida. Michihisa Iida 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.
Iida, Michihisa, et al.. (2024). Risk factors for infectious complications after gastrectomy in older patients. Experimental and Therapeutic Medicine. 28(2). 319–319.
2.
Shindo, Yoshitaro, Yukio Tokumitsu, Masao Nakajima, et al.. (2023). Laparoscopic spleen‐preserving distal pancreatectomy: A novel technique with splenic artery resection and splenic vein preservation. Asian Journal of Endoscopic Surgery. 17(1). e13261–e13261. 1 indexed citations
3.
Kimura, Yuta, Ryouichi Tsunedomi, Kiyoshi Yoshimura, et al.. (2022). Immune Evasion of Hepatoma Cancer Stem-Like Cells from Natural Killer Cells. Annals of Surgical Oncology. 29(12). 7423–7433. 8 indexed citations
4.
Ryu, Chanseok, et al.. (2017). Estimation of rice protein content before harvest using ground-based hyperspectral imaging and region of interest analysis. Precision Agriculture. 19(4). 721–734. 16 indexed citations
5.
Iida, Michihisa, et al.. (2013). Path Following Control for Head-feeding Combine Robot. Transactions of the Society of Instrument and Control Engineers. 49(1). 119–124. 4 indexed citations
6.
Nakamura, Kimihito, et al.. (2012). Effects of Different Application Methods of Methane Fermentation Digested Liquid into the Paddy Plot on Soil Nitrogen Behavior and Rice Yield. 79(4). 265–274. 3 indexed citations
7.
Ryu, Chanseok, Masahiko Suguri, Michihisa Iida, & Mikio Umeda. (2007). Validation of Rice Taste Elements Influenced by Amounts of Nitrogen Fertilizer and Estimation Using Remote Sensing. Journal of the Japanese Society of Agricultural Machinery. 69(1). 52–58. 2 indexed citations
8.
Yao, Yong, et al.. (2007). Model of Grain Return Flow for Separating Section of Head-feeding Combine. Journal of the Japanese Society of Agricultural Machinery. 69(1). 37–43.
9.
Iida, Michihisa, et al.. (2006). Rice harvest using driverless combine harvester equipped with GPS and gyro. Journal of the Japanese Society of Agricultural Machinery. 68(6). 138–143. 2 indexed citations
10.
Ryu, Chanseok, et al.. (2005). Influence of Several Doses of Nitrogen Fertilizer on Rice Taste and Grain Yield. Journal of the Japanese Society of Agricultural Machinery. 67(6). 55–61. 9 indexed citations
11.
Iida, Michihisa, et al.. (2004). Impact Type Grain Flow Rate Sensor for Combine. Journal of the Japanese Society of Agricultural Machinery. 66(6). 145–151. 6 indexed citations
12.
Ryu, Chanseok, Michihisa Iida, Masahiko Suguri, et al.. (2004). Effect of Variable Rate Fertilizer Application Aimed at Reducing the Spatial Variability of Grain Yield on Rice Taste. Journal of the Japanese Society of Agricultural Machinery. 66(5). 49–62. 5 indexed citations
13.
Iida, Michihisa, et al.. (2003). Measurement of Straw Yield for Head Feeding Combine using Knotter. Journal of the Japanese Society of Agricultural Machinery. 65(1). 62–68. 1 indexed citations
14.
Iida, Michihisa, et al.. (2001). Autonomous Follow-up Vehicle System for Agriculture (Part 3). Journal of the Japanese Society of Agricultural Machinery. 63(4). 80–84. 2 indexed citations
15.
Yanai, Junta, et al.. (2001). Mapping of Field Information in a Paddy Field. Journal of the Japanese Society of Agricultural Machinery. 63(5). 45–52. 7 indexed citations
16.
Iida, Michihisa, et al.. (2000). Development of impact type yield sensor for head feeding combine.. Journal of the Japanese Society of Agricultural Machinery. 62(4). 81–88. 8 indexed citations
17.
Iida, Michihisa, et al.. (1999). Automatic Follow-up Vehicle System for Agriculture (Part 1). Journal of the Japanese Society of Agricultural Machinery. 61(1). 99–106.
18.
Iida, Michihisa, et al.. (1996). Development of Watermelon Harvesting Gripper. Journal of the Japanese Society of Agricultural Machinery. 58(3). 19–26. 8 indexed citations
19.
Iida, Michihisa, et al.. (1996). Studies on Agricultural Hydraulic Manipulator (Part 3). Journal of the Japanese Society of Agricultural Machinery. 58(4). 19–27. 3 indexed citations
20.
Umeda, Mikio, et al.. (1994). Studies an Agricultural Hydraulic Manipulator (Part 1). Journal of the Japanese Society of Agricultural Machinery. 56(4). 67–74. 1 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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