Bo Pang

21.0k citations
85 papers · 12.8k indexed · 4 hit papers · h-index 22
Topics
Adaptive Dynamic Programming Control (14 papers)Topic Modeling (13 papers)Sentiment Analysis and Opinion Mining (9 papers)

In The Last Decade

Bo Pang

82 papers receiving 11.8k citations

Hit Papers

Opinion Mining and Sentiment Analysis2004202620112018200820082004200510002.0k3.0k4.0k

Peers

Bo Pang
Comparison fields: 5 of 184
  • Artificial Intelligence 10.0k
  • Information Systems 2.8k
  • Sociology and Political Science 1.9k
  • Statistical and Nonlinear Physics 1.0k
  • Management Science and Operations Research 633
Replace Noah A. Smith with:
Noah A. Smith United States
Dan Jurafsky United States
Qiaozhu Mei United States
Janyce Wiebe United States
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Aixin Sun Singapore
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Bo Pang relative to Noah A. Smith United States Noah A. Smith's profile →
Citations per field
00.5×1.5×2.0×
Noah A. Smith · 1×
Citations per year

Countries citing papers authored by Bo Pang

Since Specialization
Citations

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

Fields of papers citing papers by Bo Pang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bo Pang

This figure shows the co-authorship network connecting the top 25 collaborators of Bo Pang. A scholar is included among the top collaborators of Bo Pang 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 Bo Pang. Bo Pang 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 2
2 5
3 0
4 5
5 3
6 6
7 6
8 2
9 1
10 5
11 43
12 22
13 15
14
Working Memory Affects Attention to Loss Value and Loss Frequency in Decision-Making under Uncertainty.
3
15 8
16
Revisiting the Predictability of Language: Response Completion in Social Media
7
17
The Impact of Additional Weather Inputs on Gas Load Forecasting
7
18 8
19
The Chip Is the Network: Toward a Science of Network-on-Chip Designbreakdown →
3916
20
Thumbs up? Sentiment Clasification using Machine Learning Techniques
3

About Bo Pang

Bo Pang is a scholar working on General Decision Sciences, Artificial Intelligence and Control and Systems Engineering, having authored 85 papers that have together received 12.8k indexed citations. Recurring topics across this work include Adaptive Dynamic Programming Control (14 papers), Topic Modeling (13 papers) and Sentiment Analysis and Opinion Mining (9 papers). The work is most often cited by research in Artificial Intelligence (10.0k citations), Information Systems (2.8k citations) and Statistical and Nonlinear Physics (1.0k citations). Bo Pang has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Lillian Lee, Zhong‐Ping Jiang, Tao Bian, Qingling Zhang, Darrell A. Worthy, Evgeniy Gabrilovich, Kaileigh A. Byrne, Iven Mareels, Ravi Kumar and Leilei Cui. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Automatic Control.

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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