Tingting Bi

1.4k total citations
56 papers, 705 citations indexed

About

Tingting Bi is a scholar working on Information Systems, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Tingting Bi has authored 56 papers receiving a total of 705 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Information Systems, 12 papers in Artificial Intelligence and 11 papers in Molecular Biology. Recurrent topics in Tingting Bi's work include Software Engineering Research (13 papers), Software Engineering Techniques and Practices (6 papers) and Diet and metabolism studies (4 papers). Tingting Bi is often cited by papers focused on Software Engineering Research (13 papers), Software Engineering Techniques and Practices (6 papers) and Diet and metabolism studies (4 papers). Tingting Bi collaborates with scholars based in China, Australia and United States. Tingting Bi's co-authors include Libin Zhan, Xin Xia, Antony Tang, Peng Liang, David Lo, Wen Zhou, Thomas Zimmermann, Xiaoguang Lu, Lijing Zhang and John Grundy and has published in prestigious journals such as Proceedings of the National Academy of Sciences, ACS Nano and PLoS ONE.

In The Last Decade

Tingting Bi

48 papers receiving 689 citations

Peers

Tingting Bi
Comparison fields: 5 of 139
  • Information Systems 193
  • Molecular Biology 185
  • Artificial Intelligence 103
  • Physiology 77
  • Computer Networks and Communications 68
Replace Xin Tan with:
Xin Tan China
Michael Bieber United States
Juan Antonio Navarro Spain
Manuel Noguera Spain
Serkan Kırbaş Türkiye
Kathleen Carter United States
Siyuan Jiang China
Brandon Dixon United States
Csaba Szabó Slovakia
Dilip Kumar Sharma India
Xin Tan China View profile →
Citations per field, relative to Tingting Bi
Tingting Bi · 1×
Citations per year, relative to Tingting Bi
Tingting Bi · 1×

Countries citing papers authored by Tingting Bi

Since Specialization
Citations

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

Fields of papers citing papers by Tingting Bi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tingting Bi

This figure shows the co-authorship network connecting the top 25 collaborators of Tingting Bi. A scholar is included among the top collaborators of Tingting Bi 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 Tingting Bi. Tingting Bi 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
# Work Indexed citations
1 10
2 14
3 0
4 0
5 0
6 0
7 3
8 21
9 1
10 25
11 38
12 17
13 24
14 20
15 22
16 54
17 3
18 8
19 26
20 2

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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