Kang Cheng

3.3k citations
71 papers · 2.4k indexed · h-index 22
Topics
Neural dynamics and brain function (18 papers)Luminescence Properties of Advanced Materials (17 papers)Visual perception and processing mechanisms (14 papers)
Partner nations
JapanChinaUnited States

In The Last Decade

Kang Cheng

70 papers receiving 2.3k citations

Peers

Kang Cheng
Comparison fields: 5 of 147
  • Cognitive Neuroscience 1.7k
  • Social Psychology 266
  • Materials Chemistry 244
  • Electrical and Electronic Engineering 224
  • Cellular and Molecular Neuroscience 220
Replace D. Samuel Schwarzkopf with:
D. Samuel Schwarzkopf United Kingdom
Pedro J. Pardo Spain
Hamed Nili United Kingdom
Damian Stanley United States
Christopher K. Kovach United States
Jens Schwarzbach Germany
Tomas Knapen Netherlands
Preeti Verghese United States
Guido Hesselmann Germany
Fang Fang China
Kang Cheng relative to D. Samuel Schwarzkopf United Kingdom D. Samuel Schwarzkopf's profile →
Citations per field
00.5×50×122×
D. Samuel Schwarzkopf · 1×
Citations per year

Countries citing papers authored by Kang Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Kang Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kang Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Kang Cheng. A scholar is included among the top collaborators of Kang Cheng 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 Kang Cheng. Kang Cheng 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
#WorkIndexed citations
1 0
2 13
3 2
4 4
5 1
6 11
7 1
8 18
9 14
10 14
11 8
12 18
13 8
14 15
15 52
16 61
17 59
18
Object location technique for binocular stereo vision based on scale invariant feature transform feature points
4
19 52
20 499

About Kang Cheng

Kang Cheng is a scholar working on Cognitive Neuroscience, General Decision Sciences and Catalysis, having authored 71 papers that have together received 2.4k indexed citations. Recurring topics across this work include Neural dynamics and brain function (18 papers), Luminescence Properties of Advanced Materials (17 papers) and Visual perception and processing mechanisms (14 papers). The work is most often cited by research in Cognitive Neuroscience (1.7k citations), Experimental and Cognitive Psychology (208 citations) and General Decision Sciences (29 citations). Kang Cheng has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Keiji Tanaka, Kenichi Ueno, Ichiro Fujita, Minami Ito, Justin L. Gardner, R. Allen Waggoner, Pei Sun, Takeshi Asamizuya, Weichao Huang and Chaoyong Deng. Their work appears in journals such as Nature, Science and Neuron.

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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