Shi Di

529 citations
17 papers · 425 indexed · h-index 9
Topics
Neural dynamics and brain function (8 papers)Non-Invasive Vital Sign Monitoring (4 papers)Visual perception and processing mechanisms (3 papers)
Journals
SHILAP Revista de lepidopterologíaBrain ResearchSensors

In The Last Decade

Shi Di

17 papers receiving 419 citations

Peers

Shi Di
Comparison fields: 5 of 57
  • Cognitive Neuroscience 324
  • Cellular and Molecular Neuroscience 129
  • Experimental and Cognitive Psychology 114
  • Sensory Systems 89
  • Nutrition and Dietetics 32
Replace M Thévenet with:
M Thévenet France
Craig G. Richter United States
Itta Nakamura Japan
Pavel Prado Chile
Françoise Lecaignard France
Christos E. Vasios United States
Milena Korostenskaja United States
Naomi Bleich Israel
Shi Di relative to M Thévenet France M Thévenet's profile →
Citations per field
00.5×3.5×
M Thévenet · 1×
Citations per year

Countries citing papers authored by Shi Di

Since Specialization
Citations

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

Fields of papers citing papers by Shi Di

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shi Di

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

All Works

17 of 17 papers shown
#WorkIndexed citations
1 3
2 3
3 7
4
A Real-time Robust Low-Frequency Oscillation Detection and Analysis (LFODA) System with Innovative Ensemble Filtering
1
5
Respiration Detection for Searching Trapped Victims using Small-Size UHF UWB Antenna
1
6 5
7 2
8 115
9 19
10 43
11 29
12 39
13 48
14 4
15 60
16 14
17 32

About Shi Di

Shi Di is a scholar working on Cognitive Neuroscience, Sensory Systems and Cellular and Molecular Neuroscience, having authored 17 papers that have together received 425 indexed citations. Recurring topics across this work include Neural dynamics and brain function (8 papers), Non-Invasive Vital Sign Monitoring (4 papers) and Visual perception and processing mechanisms (3 papers). The work is most often cited by research in Sensory Systems (89 citations), Cognitive Neuroscience (324 citations) and Experimental and Cognitive Psychology (114 citations). Shi Di has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Daniel S. Barth, Christoph Baumgartner, William W. Sutherling, Linda R. Watkins, Leonhard Reindl, Stefan J. Rupitsch, Adnan Yousaf, Desong Bian, Ruisheng Diao and Zhe Yu. Their work appears in journals such as SHILAP Revista de lepidopterología, Brain Research and Sensors.

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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